* installing *source* package 'RNiftyReg' ...
** using staged installation

   **********************************************
   WARNING: this package has a configure script
         It probably needs manual configuration
   **********************************************


** libs
using C++ compiler: 'g++.exe (GCC) 13.2.0'
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c main.cpp -o main.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from main.cpp:1:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
main.cpp:51:69:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
main.cpp:51:69:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
main.cpp:421:31:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
main.cpp:421:31:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
main.cpp:441:31:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
main.cpp:441:31:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:309:34:   required from 'class Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> >'
main.cpp:475:29:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
main.cpp:475:34:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<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/4.5/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::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
main.cpp:475:34:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > > >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:396:35:   required from 'struct Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
main.cpp:475:42:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:361:24:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:22:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:25:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:363:38:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:59:   required from 'static void Eigen::internal::matrix_exp_computeUV<MatrixType, double>::run(const ArgType&, MatrixType&, MatrixType&, int&) [with ArgType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:257:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:31:   required from 'void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, -1, -1>; MatU = Eigen::Matrix<double, -1, -1>; MatV = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:65:   required from 'void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, -1, -1>; MatU = Eigen::Matrix<double, -1, -1>; MatV = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:43:   required from 'void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, -1, -1>; MatU = Eigen::Matrix<double, -1, -1>; MatV = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:36:   required from 'void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, -1, -1>; MatU = Eigen::Matrix<double, -1, -1>; MatV = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<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/4.5/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::CwiseBinaryOp<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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<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>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<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> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:36:   required from 'void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, -1, -1>; MatU = Eigen::Matrix<double, -1, -1>; MatV = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:48:   required from 'void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, -1, -1>; MatU = Eigen::Matrix<double, -1, -1>; MatV = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_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::CwiseBinaryOp<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::CwiseBinaryOp<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/4.5/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_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::CwiseBinaryOp<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::CwiseBinaryOp<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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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_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::CwiseBinaryOp<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::CwiseBinaryOp<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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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_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::CwiseBinaryOp<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::CwiseBinaryOp<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>'
D:/RCompile/CRANpkg/lib/4.5/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_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::CwiseBinaryOp<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::CwiseBinaryOp<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> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:108:48:   required from 'void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, -1, -1>; MatU = Eigen::Matrix<double, -1, -1>; MatV = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:109:5:   required from 'void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, -1, -1>; MatU = Eigen::Matrix<double, -1, -1>; MatV = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<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/4.5/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_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<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>'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<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> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:131:60:   required from 'void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, -1, -1>; MatU = Eigen::Matrix<double, -1, -1>; MatV = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:132:5:   required from 'void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, -1, -1>; MatU = Eigen::Matrix<double, -1, -1>; MatV = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:126:68:   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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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]
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>, 2, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107:   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]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107:   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]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>, 2, Eigen::Stride<0, 0> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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>, 2, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:278:57:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15:   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]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13:   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]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, 8>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::Matrix<double, -1, -1>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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, 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>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 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>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 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>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   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>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
main.cpp:566:100:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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 = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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 = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:85:   required from 'void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:101:   required from 'void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27:   required from 'MatrixType Eigen::internal::MatrixLogarithmAtomic<MatrixType>::compute(const MatrixType&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h:247:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -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]'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:293:32:   required from 'Eigen::ComplexSchur<_MatrixType>::ComplexScalar Eigen::ComplexSchur<_MatrixType>::computeShift(Index, Index) [with _MatrixType = Eigen::Matrix<std::complex<double>, -1, -1>; ComplexScalar = std::complex<double>; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:434:27:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/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::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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 = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<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 = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:126:68:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<std::complex<double>, long long int, general_matrix_matrix_product<long long int, std::complex<double>, 0, false, std::complex<double>, 0, false, 0, 1>, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Matrix<std::complex<double>, -1, -1>, gemm_blocking_space<0, std::complex<double>, std::complex<double>, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; int Options = 0; Scalar = std::complex<double>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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<std::complex<double>, -1, -1>; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, 0>; Func = assign_op<std::complex<double>, std::complex<double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107:   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 = std::complex<double>; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex<double>; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, std::complex<double>, 0, false, std::complex<double>, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix<std::complex<double>, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex<double>, std::complex<double>, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, long long int, general_matrix_matrix_product<long long int, std::complex<double>, 0, false, std::complex<double>, 0, false, 0, 1>, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Matrix<std::complex<double>, -1, -1>, gemm_blocking_space<0, std::complex<double>, std::complex<double>, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107:   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 = std::complex<double>; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex<double>; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, std::complex<double>, 0, false, std::complex<double>, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix<std::complex<double>, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex<double>, std::complex<double>, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, long long int, general_matrix_matrix_product<long long int, std::complex<double>, 0, false, std::complex<double>, 0, false, 0, 1>, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Matrix<std::complex<double>, -1, -1>, gemm_blocking_space<0, std::complex<double>, std::complex<double>, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13:   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 = std::complex<double>; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex<double>; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, std::complex<double>, 0, false, std::complex<double>, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix<std::complex<double>, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex<double>, std::complex<double>, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, long long int, general_matrix_matrix_product<long long int, std::complex<double>, 0, false, std::complex<double>, 0, false, 0, 1>, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Matrix<std::complex<double>, -1, -1>, gemm_blocking_space<0, std::complex<double>, std::complex<double>, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::unpacket_traits<Eigen::internal::DoublePacket<__vector(2) double> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13:   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 = std::complex<double>; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex<double>; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, std::complex<double>, 0, false, std::complex<double>, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix<std::complex<double>, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex<double>, std::complex<double>, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, long long int, general_matrix_matrix_product<long long int, std::complex<double>, 0, false, std::complex<double>, 0, false, 0, 1>, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Matrix<std::complex<double>, -1, -1>, gemm_blocking_space<0, std::complex<double>, std::complex<double>, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:746:64: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  746 |   typedef DoublePacket<typename unpacket_traits<Packet>::half> half;
      |                                                                ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1> > > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13:   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 = std::complex<double>; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex<double>; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, std::complex<double>, 0, false, std::complex<double>, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix<std::complex<double>, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex<double>, std::complex<double>, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, long long int, general_matrix_matrix_product<long long int, std::complex<double>, 0, false, std::complex<double>, 0, false, 0, 1>, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::Matrix<std::complex<double>, -1, -1>, gemm_blocking_space<0, std::complex<double>, std::complex<double>, -1, -1, -1, 1, false> >; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  858 |     dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13:   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 = std::complex<double>; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex<double>; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, std::complex<double>, 0, false, std::complex<double>, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix<std::complex<double>, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex<double>, std::complex<double>, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13:   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 = std::complex<double>; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = std::complex<double>; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, std::complex<double>, 0, false, std::complex<double>, 0, false, 0, 1>; Lhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Dest = Eigen::Matrix<std::complex<double>, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, std::complex<double>, std::complex<double>, -1, -1, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1063:38:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, -1, -1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1074:45:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, -1, -1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, -1, -1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 2>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, -1, -1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex<double>]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, -1, -1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, -1, -1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<std::complex<double>, -1, -1>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  858 |     dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex<double>]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, -1, -1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  858 |     dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, -1, -1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, -1, -1> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; int ProductTag = 8; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:413:63:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, -1, -1>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
main.cpp:475:43:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:341:
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]':
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type 'const std::complex<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 = std::complex<double>; bool ConjLhs = false; RhsScalar = std::complex<double>; bool ConjRhs = true; 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 -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c helpers.cpp -o helpers.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from helpers.cpp:1:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c RNifti.cpp -o RNifti.o
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c AffineMatrix.cpp -o AffineMatrix.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from AffineMatrix.cpp:1:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
AffineMatrix.cpp:21:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
AffineMatrix.cpp:21:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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 -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c DeformationField.cpp -o DeformationField.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from DeformationField.cpp:1:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
DeformationField.cpp:147:11:   required from 'Rcpp::NumericVector DeformationField<PrecisionType>::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix<double, Dim, 1>&, bool, const Eigen::Matrix<double, Dim, 1>&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]'
DeformationField.cpp:326:200:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
DeformationField.cpp:147:11:   required from 'Rcpp::NumericVector DeformationField<PrecisionType>::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix<double, Dim, 1>&, bool, const Eigen::Matrix<double, Dim, 1>&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]'
DeformationField.cpp:326:200:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >'
DeformationField.cpp:147:35:   required from 'Rcpp::NumericVector DeformationField<PrecisionType>::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix<double, Dim, 1>&, bool, const Eigen::Matrix<double, Dim, 1>&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]'
DeformationField.cpp:326:200:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, const Eigen::Matrix<double, 2, 1> >'
DeformationField.cpp:197:64:   required from 'Rcpp::NumericVector DeformationField<PrecisionType>::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix<double, Dim, 1>&, bool, const Eigen::Matrix<double, Dim, 1>&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]'
DeformationField.cpp:326:200:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
DeformationField.cpp:147:11:   required from 'Rcpp::NumericVector DeformationField<PrecisionType>::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix<double, Dim, 1>&, bool, const Eigen::Matrix<double, Dim, 1>&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]'
DeformationField.cpp:329:200:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
DeformationField.cpp:147:11:   required from 'Rcpp::NumericVector DeformationField<PrecisionType>::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix<double, Dim, 1>&, bool, const Eigen::Matrix<double, Dim, 1>&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]'
DeformationField.cpp:329:200:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >'
DeformationField.cpp:147:35:   required from 'Rcpp::NumericVector DeformationField<PrecisionType>::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix<double, Dim, 1>&, bool, const Eigen::Matrix<double, Dim, 1>&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]'
DeformationField.cpp:329:200:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1>, const Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1>, const Eigen::Matrix<double, 3, 1> >'
DeformationField.cpp:197:64:   required from 'Rcpp::NumericVector DeformationField<PrecisionType>::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix<double, Dim, 1>&, bool, const Eigen::Matrix<double, Dim, 1>&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]'
DeformationField.cpp:329:200:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
DeformationField.cpp:163:27:   required from 'Rcpp::NumericVector DeformationField<PrecisionType>::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix<double, Dim, 1>&, bool, const Eigen::Matrix<double, Dim, 1>&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]'
DeformationField.cpp:326:200:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 2, 1>, const Eigen::Matrix<double, 2, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
DeformationField.cpp:197:81:   required from 'Rcpp::NumericVector DeformationField<PrecisionType>::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix<double, Dim, 1>&, bool, const Eigen::Matrix<double, Dim, 1>&) const [with int Dim = 2; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]'
DeformationField.cpp:326:200:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
DeformationField.cpp:163:27:   required from 'Rcpp::NumericVector DeformationField<PrecisionType>::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix<double, Dim, 1>&, bool, const Eigen::Matrix<double, Dim, 1>&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]'
DeformationField.cpp:329:200:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, 3, 1>, const Eigen::Matrix<double, 3, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
DeformationField.cpp:197:81:   required from 'Rcpp::NumericVector DeformationField<PrecisionType>::findPoint(const RNifti::NiftiImage&, const Eigen::Matrix<double, Dim, 1>&, bool, const Eigen::Matrix<double, Dim, 1>&) const [with int Dim = 3; PrecisionType = float; Rcpp::NumericVector = Rcpp::Vector<14, Rcpp::PreserveStorage>]'
DeformationField.cpp:329:200:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c aladin.cpp -o aladin.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from aladin.cpp:1:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
aladin.cpp:86:35:   required from 'AladinResult regAladin(const RNifti::NiftiImage&, const RNifti::NiftiImage&, LinearTransformScope, bool, int, int, int, int, const RNifti::NiftiImage&, const RNifti::NiftiImage&, const AffineMatrix&, bool, bool) [with PrecisionType = float]'
aladin.cpp:99:394:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
aladin.cpp:86:35:   required from 'AladinResult regAladin(const RNifti::NiftiImage&, const RNifti::NiftiImage&, LinearTransformScope, bool, int, int, int, int, const RNifti::NiftiImage&, const RNifti::NiftiImage&, const AffineMatrix&, bool, bool) [with PrecisionType = float]'
aladin.cpp:99:394:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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 -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c f3d.cpp -o f3d.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from f3d.cpp:1:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/AladinContent.cpp -o reg-lib/AladinContent.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_blockMatching.h:17,
                 from reg-lib/AladinContent.h:10,
                 from reg-lib/AladinContent.cpp:1:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/Platform.cpp -o reg-lib/Platform.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_blockMatching.h:17,
                 from reg-lib/AladinContent.h:10,
                 from reg-lib/Platform.cpp:2:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/_reg_aladin.cpp -o reg-lib/_reg_aladin.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_blockMatching.h:17,
                 from reg-lib/_reg_aladin.h:19,
                 from reg-lib/_reg_aladin.cpp:7:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/_reg_aladin_sym.cpp -o reg-lib/_reg_aladin_sym.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_blockMatching.h:17,
                 from reg-lib/_reg_aladin.h:19,
                 from reg-lib/_reg_aladin_sym.h:15,
                 from reg-lib/_reg_aladin_sym.cpp:4:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/_reg_base.cpp -o reg-lib/_reg_base.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_tools.h:19,
                 from reg-lib/cpu/_reg_globalTrans.h:18,
                 from reg-lib/_reg_base.h:16,
                 from reg-lib/_reg_base.cpp:15:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/_reg_f3d.cpp -o reg-lib/_reg_f3d.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_tools.h:19,
                 from reg-lib/cpu/_reg_globalTrans.h:18,
                 from reg-lib/_reg_base.h:16,
                 from reg-lib/_reg_f3d.h:15,
                 from reg-lib/_reg_f3d.cpp:15:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/_reg_f3d2.cpp -o reg-lib/_reg_f3d2.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_tools.h:19,
                 from reg-lib/cpu/_reg_globalTrans.h:18,
                 from reg-lib/_reg_base.h:16,
                 from reg-lib/_reg_f3d.h:15,
                 from reg-lib/_reg_f3d_sym.h:15,
                 from reg-lib/_reg_f3d2.h:12,
                 from reg-lib/_reg_f3d2.cpp:16:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/_reg_f3d_sym.cpp -o reg-lib/_reg_f3d_sym.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_tools.h:19,
                 from reg-lib/cpu/_reg_globalTrans.h:18,
                 from reg-lib/_reg_base.h:16,
                 from reg-lib/_reg_f3d.h:15,
                 from reg-lib/_reg_f3d_sym.h:15,
                 from reg-lib/_reg_f3d_sym.cpp:15:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/CPUAffineDeformationFieldKernel.cpp -o reg-lib/cpu/CPUAffineDeformationFieldKernel.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_blockMatching.h:17,
                 from reg-lib/AladinContent.h:10,
                 from reg-lib/cpu/CPUAffineDeformationFieldKernel.h:5,
                 from reg-lib/cpu/CPUAffineDeformationFieldKernel.cpp:1:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/CPUBlockMatchingKernel.cpp -o reg-lib/cpu/CPUBlockMatchingKernel.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_blockMatching.h:17,
                 from reg-lib/cpu/CPUBlockMatchingKernel.h:5,
                 from reg-lib/cpu/CPUBlockMatchingKernel.cpp:1:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/CPUConvolutionKernel.cpp -o reg-lib/cpu/CPUConvolutionKernel.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_tools.h:19,
                 from reg-lib/cpu/_reg_globalTrans.h:18,
                 from reg-lib/cpu/CPUConvolutionKernel.cpp:2:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/CPUKernelFactory.cpp -o reg-lib/cpu/CPUKernelFactory.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_blockMatching.h:17,
                 from reg-lib/AladinContent.h:10,
                 from reg-lib/KernelFactory.h:4,
                 from reg-lib/cpu/CPUKernelFactory.h:4,
                 from reg-lib/cpu/CPUKernelFactory.cpp:1:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/CPUOptimiseKernel.cpp -o reg-lib/cpu/CPUOptimiseKernel.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_blockMatching.h:17,
                 from reg-lib/cpu/CPUOptimiseKernel.h:5,
                 from reg-lib/cpu/CPUOptimiseKernel.cpp:1:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/CPUResampleImageKernel.cpp -o reg-lib/cpu/CPUResampleImageKernel.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_blockMatching.h:17,
                 from reg-lib/AladinContent.h:10,
                 from reg-lib/cpu/CPUResampleImageKernel.h:5,
                 from reg-lib/cpu/CPUResampleImageKernel.cpp:1:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/_reg_blockMatching.cpp -o reg-lib/cpu/_reg_blockMatching.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_blockMatching.h:17,
                 from reg-lib/cpu/_reg_blockMatching.cpp:12:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
reg-lib/cpu/_reg_blockMatching.cpp: In function 'void block_matching_method2D(nifti_image*, nifti_image*, _reg_blockMatchingParam*, int*) [with DTYPE = double]':
reg-lib/cpu/_reg_blockMatching.cpp:354:65: warning: 'maskPtr_XY' may be used uninitialized [-Wmaybe-uninitialized]
  354 |                               if (value == value && *maskPtr_XY > -1) {
      |                                                     ~~~~~~~~~~~~^~~~
reg-lib/cpu/_reg_blockMatching.cpp:285:9: note: 'maskPtr_XY' was declared here
  285 |    int *maskPtr_XY;
      |         ^~~~~~~~~~
reg-lib/cpu/_reg_blockMatching.cpp: In function 'void block_matching_method2D(nifti_image*, nifti_image*, _reg_blockMatchingParam*, int*) [with DTYPE = float]':
reg-lib/cpu/_reg_blockMatching.cpp:354:65: warning: 'maskPtr_XY' may be used uninitialized [-Wmaybe-uninitialized]
  354 |                               if (value == value && *maskPtr_XY > -1) {
      |                                                     ~~~~~~~~~~~~^~~~
reg-lib/cpu/_reg_blockMatching.cpp:285:9: note: 'maskPtr_XY' was declared here
  285 |    int *maskPtr_XY;
      |         ^~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/_reg_globalTrans.cpp -o reg-lib/cpu/_reg_globalTrans.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_tools.h:19,
                 from reg-lib/cpu/_reg_globalTrans.h:18,
                 from reg-lib/cpu/_reg_globalTrans.cpp:15:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
reg-lib/cpu/_reg_globalTrans.cpp: In function 'void estimate_rigid_transformation2D(float**, float**, int, mat44*)':
reg-lib/cpu/_reg_globalTrans.cpp:297:4: warning: this 'for' clause does not guard... [-Wmisleading-indentation]
  297 |    for(size_t dance=0;dance<2;++dance) free(p1t[dance]); free(p1t);
      |    ^~~
reg-lib/cpu/_reg_globalTrans.cpp:297:58: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'for'
  297 |    for(size_t dance=0;dance<2;++dance) free(p1t[dance]); free(p1t);
      |                                                          ^~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/_reg_localTrans.cpp -o reg-lib/cpu/_reg_localTrans.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_tools.h:19,
                 from reg-lib/cpu/_reg_globalTrans.h:18,
                 from reg-lib/cpu/_reg_localTrans.h:20,
                 from reg-lib/cpu/_reg_localTrans.cpp:13:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
reg-lib/cpu/_reg_localTrans.cpp: In function 'void reg_defField_compose3D(nifti_image*, nifti_image*, int*)':
reg-lib/cpu/_reg_localTrans.cpp:2464:31: warning: 'align' attribute directive ignored [-Wattributes]
 2464 |    __declspec(align(16))mat44 df_real2Voxel;
      |                               ^~~~~~~~~~~~~
reg-lib/cpu/_reg_localTrans.cpp: In function 'void reg_spline_cppComposition_2D(nifti_image*, nifti_image*, bool, bool, bool)':
reg-lib/cpu/_reg_localTrans.cpp:3281:40: warning: 'align' attribute directive ignored [-Wattributes]
 3281 |    __declspec(align(16)) DTYPE xBasis[4];
      |                                        ^
reg-lib/cpu/_reg_localTrans.cpp:3282:40: warning: 'align' attribute directive ignored [-Wattributes]
 3282 |    __declspec(align(16)) DTYPE yBasis[4];
      |                                        ^
reg-lib/cpu/_reg_localTrans.cpp:3287:59: warning: 'align' attribute directive ignored [-Wattributes]
 3287 |    __declspec(align(16)) DTYPE xControlPointCoordinates[16];
      |                                                           ^
reg-lib/cpu/_reg_localTrans.cpp:3288:59: warning: 'align' attribute directive ignored [-Wattributes]
 3288 |    __declspec(align(16)) DTYPE yControlPointCoordinates[16];
      |                                                           ^
reg-lib/cpu/_reg_localTrans.cpp: In function 'void reg_spline_cppComposition_3D(nifti_image*, nifti_image*, bool, bool, bool)':
reg-lib/cpu/_reg_localTrans.cpp:3467:40: warning: 'align' attribute directive ignored [-Wattributes]
 3467 |    __declspec(align(16)) DTYPE xBasis[4];
      |                                        ^
reg-lib/cpu/_reg_localTrans.cpp:3468:40: warning: 'align' attribute directive ignored [-Wattributes]
 3468 |    __declspec(align(16)) DTYPE yBasis[4];
      |                                        ^
reg-lib/cpu/_reg_localTrans.cpp:3469:40: warning: 'align' attribute directive ignored [-Wattributes]
 3469 |    __declspec(align(16)) DTYPE zBasis[4];
      |                                        ^
reg-lib/cpu/_reg_localTrans.cpp:3470:59: warning: 'align' attribute directive ignored [-Wattributes]
 3470 |    __declspec(align(16)) DTYPE xControlPointCoordinates[64];
      |                                                           ^
reg-lib/cpu/_reg_localTrans.cpp:3471:59: warning: 'align' attribute directive ignored [-Wattributes]
 3471 |    __declspec(align(16)) DTYPE yControlPointCoordinates[64];
      |                                                           ^
reg-lib/cpu/_reg_localTrans.cpp:3472:59: warning: 'align' attribute directive ignored [-Wattributes]
 3472 |    __declspec(align(16)) DTYPE zControlPointCoordinates[64];
      |                                                           ^
reg-lib/cpu/_reg_localTrans.cpp: In instantiation of 'void compute_lie_bracket(nifti_image*, nifti_image*, nifti_image*, bool) [with DTYPE = float; nifti_image = nifti1_image]':
reg-lib/cpu/_reg_localTrans.cpp:4261:33:   required from 'void compute_BCH_update1(nifti_image*, nifti_image*, int) [with DTYPE = float; nifti_image = nifti1_image]'
reg-lib/cpu/_reg_localTrans.cpp:4342:33:   required from here
reg-lib/cpu/_reg_localTrans.cpp:4109:27: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'long int' [-Wsign-compare]
 4109 |          for(size_t i=0; i<voxNumber; ++i)
      |                          ~^~~~~~~~~~
reg-lib/cpu/_reg_localTrans.cpp:4139:27: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'long int' [-Wsign-compare]
 4139 |          for(size_t i=0; i<voxNumber; ++i)
      |                          ~^~~~~~~~~~
reg-lib/cpu/_reg_localTrans.cpp: In instantiation of 'void compute_lie_bracket(nifti_image*, nifti_image*, nifti_image*, bool) [with DTYPE = double; nifti_image = nifti1_image]':
reg-lib/cpu/_reg_localTrans.cpp:4261:33:   required from 'void compute_BCH_update1(nifti_image*, nifti_image*, int) [with DTYPE = double; nifti_image = nifti1_image]'
reg-lib/cpu/_reg_localTrans.cpp:4345:34:   required from here
reg-lib/cpu/_reg_localTrans.cpp:4109:27: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'long int' [-Wsign-compare]
 4109 |          for(size_t i=0; i<voxNumber; ++i)
      |                          ~^~~~~~~~~~
reg-lib/cpu/_reg_localTrans.cpp:4139:27: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'long int' [-Wsign-compare]
 4139 |          for(size_t i=0; i<voxNumber; ++i)
      |                          ~^~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/_reg_localTrans_jac.cpp -o reg-lib/cpu/_reg_localTrans_jac.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_tools.h:19,
                 from reg-lib/cpu/_reg_globalTrans.h:18,
                 from reg-lib/cpu/_reg_localTrans.h:20,
                 from reg-lib/cpu/_reg_localTrans_jac.h:16,
                 from reg-lib/cpu/_reg_localTrans_jac.cpp:12:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/_reg_localTrans_regul.cpp -o reg-lib/cpu/_reg_localTrans_regul.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_tools.h:19,
                 from reg-lib/cpu/_reg_splineBasis.h:15,
                 from reg-lib/cpu/_reg_localTrans_regul.h:16,
                 from reg-lib/cpu/_reg_localTrans_regul.cpp:12:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/_reg_maths.cpp -o reg-lib/cpu/_reg_maths.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_maths.cpp:4:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/_reg_maths_eigen.cpp -o reg-lib/cpu/_reg_maths_eigen.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_maths_eigen.cpp:4:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
reg-lib/cpu/_reg_maths_eigen.cpp:52:11:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
reg-lib/cpu/_reg_maths_eigen.cpp:52:11:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/SVDBase.h:274:22:   required from 'class Eigen::SVDBase<Eigen::JacobiSVD<Eigen::Matrix<double, -1, -1>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:488:60:   required from 'class Eigen::JacobiSVD<Eigen::Matrix<double, -1, -1>, 2>'
reg-lib/cpu/_reg_maths_eigen.cpp:64:33:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19:   required from 'class Eigen::ColPivHouseholderQR<Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:246:10:   required from 'struct Eigen::internal::qr_preconditioner_impl<Eigen::Matrix<double, -1, -1>, 2, 0, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:609:110:   required from 'class Eigen::JacobiSVD<Eigen::Matrix<double, -1, -1>, 2>'
reg-lib/cpu/_reg_maths_eigen.cpp:64:33:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
reg-lib/cpu/_reg_maths_eigen.cpp:226:20:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
reg-lib/cpu/_reg_maths_eigen.cpp:226:20:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> > >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:316:34:   required from 'class Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >'
reg-lib/cpu/_reg_maths_eigen.cpp:234:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 9>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
reg-lib/cpu/_reg_maths_eigen.cpp:244:20:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 3>'
reg-lib/cpu/_reg_maths_eigen.cpp:244:20:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> > >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:396:35:   required from 'struct Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >'
reg-lib/cpu/_reg_maths_eigen.cpp:256:23:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> > >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:396:35:   required from 'struct Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >'
reg-lib/cpu/_reg_maths_eigen.cpp:273:13:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> > >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:309:34:   required from 'class Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >'
reg-lib/cpu/_reg_maths_eigen.cpp:303:23:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> > >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:309:34:   required from 'class Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >'
reg-lib/cpu/_reg_maths_eigen.cpp:320:13:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, 4, 4>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, 4, 4> >'
reg-lib/cpu/_reg_maths_eigen.cpp:336:21:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
reg-lib/cpu/_reg_maths_eigen.cpp: In instantiation of 'void svd(T**, size_t, size_t, T***, T***, T***) [with T = float; size_t = long long unsigned int]':
reg-lib/cpu/_reg_maths_eigen.cpp:187:102:   required from here
reg-lib/cpu/_reg_maths_eigen.cpp:95:17: warning: unused variable 'sn2' [-Wunused-variable]
   95 |    long sm, sn, sn2, min_dim, i, j;
      |                 ^~~
reg-lib/cpu/_reg_maths_eigen.cpp: In instantiation of 'void svd(T**, size_t, size_t, T***, T***, T***) [with T = double; size_t = long long unsigned int]':
reg-lib/cpu/_reg_maths_eigen.cpp:188:107:   required from here
reg-lib/cpu/_reg_maths_eigen.cpp:95:17: warning: unused variable 'sn2' [-Wunused-variable]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:37:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:691:29:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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/4.5/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::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:691:29:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:32:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:60:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:705:61:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:758:35:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:765:62:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:777:65:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:228:33:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:187:58:   required from 'class Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:231:121:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:25:26:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:733:40:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:758:39:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:555:41:   required from 'Eigen::PartialPivLU<MatrixType>::Scalar Eigen::PartialPivLU<MatrixType>::determinant() const [with _MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:40:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:303:34:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:59:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:310:26:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82:   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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, 2, 2>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:297:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:733:40:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:734:53:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 1, -1>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, 5>'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33:   required from 'static Derived& Eigen::internal::setIdentity_impl<Derived, Big>::run(Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; bool Big = false]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity() [with Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21:   required from 'Derived& Eigen::MatrixBase<Derived>::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, -1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:698:45:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; VectorY = Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Matrix<double, 2, 2>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19:   required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<double, -1, -1>; RealScalar = double; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:777:88:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 3, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:85:128:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:268:38:   required from 'static void Eigen::internal::matrix_sqrt_compute<MatrixType, 0>::run(const MatrixType&, ResultType&) [with ResultType = Eigen::Matrix<double, 4, 4>; MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 4, 4>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, const Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, const Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, const Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:361:24:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:22:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:25:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, 3, 3> >, Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, 3, 3> >, Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, 3, 3> >, Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, 3, 3> >, Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, 3, 3> >, Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:363:38:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, const Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, const Eigen::Matrix<double, 4, 4>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, const Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:361:24:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, 4, 4>; ResultType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 4, 4>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:22:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, 4, 4>; ResultType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:362:25:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, 4, 4>; ResultType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 4>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:363:38:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, 4, 4>; ResultType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, 3, 3> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, 3, 3> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, 4, 4> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, 4, 4> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryView<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::internal::scalar_real_ref_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, 4, 4>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:320:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 1>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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 = 1; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:679:71:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:406:42:   required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setConstant(const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:409:44:   required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setZero() [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 10; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 10>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:298:61:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   required from 'Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:59:   required from 'static void Eigen::internal::matrix_exp_computeUV<MatrixType, double>::run(const ArgType&, MatrixType&, MatrixType&, int&) [with ArgType = Eigen::Matrix<double, 3, 3>; MatrixType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, 3, 3>; ResultType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:257:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:243:59:   required from 'static void Eigen::internal::matrix_exp_computeUV<MatrixType, double>::run(const ArgType&, MatrixType&, MatrixType&, int&) [with ArgType = Eigen::Matrix<double, 4, 4>; MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, 4, 4>; ResultType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, 4, 4>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::MatrixExponentialScalingOp<double>, const Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:257:35:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 4, 4>; _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 4, 4> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 4, 4> > >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:339:38:   required from 'struct Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:70:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:31:   required from 'void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 3, 3>; MatU = Eigen::Matrix<double, 3, 3>; MatV = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:65:   required from 'void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 3, 3>; MatU = Eigen::Matrix<double, 3, 3>; MatV = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:43:   required from 'void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 3, 3>; MatU = Eigen::Matrix<double, 3, 3>; MatV = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:36:   required from 'void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 3, 3>; MatU = Eigen::Matrix<double, 3, 3>; MatV = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:36:   required from 'void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 3, 3>; MatU = Eigen::Matrix<double, 3, 3>; MatV = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:48:   required from 'void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 3, 3>; MatU = Eigen::Matrix<double, 3, 3>; MatV = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/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_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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/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_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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:108:48:   required from 'void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 3, 3>; MatU = Eigen::Matrix<double, 3, 3>; MatV = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:109:5:   required from 'void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 3, 3>; MatU = Eigen::Matrix<double, 3, 3>; MatV = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:131:60:   required from 'void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 3, 3>; MatU = Eigen::Matrix<double, 3, 3>; MatV = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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, 3, 3> >, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::Matrix<double, 3, 3> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 3, 3> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:132:5:   required from 'void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 3, 3>; MatU = Eigen::Matrix<double, 3, 3>; MatV = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:31:   required from 'void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 4, 4>; MatU = Eigen::Matrix<double, 4, 4>; MatV = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:65:   required from 'void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 4, 4>; MatU = Eigen::Matrix<double, 4, 4>; MatV = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:43:   required from 'void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 4, 4>; MatU = Eigen::Matrix<double, 4, 4>; MatV = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:71:36:   required from 'void Eigen::internal::matrix_exp_pade3(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 4, 4>; MatU = Eigen::Matrix<double, 4, 4>; MatV = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:246:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:36:   required from 'void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 4, 4>; MatU = Eigen::Matrix<double, 4, 4>; MatV = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:89:48:   required from 'void Eigen::internal::matrix_exp_pade5(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 4, 4>; MatU = Eigen::Matrix<double, 4, 4>; MatV = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:248:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/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_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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/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_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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:108:48:   required from 'void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 4, 4>; MatU = Eigen::Matrix<double, 4, 4>; MatV = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:109:5:   required from 'void Eigen::internal::matrix_exp_pade7(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 4, 4>; MatU = Eigen::Matrix<double, 4, 4>; MatV = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:250:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:131:60:   required from 'void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 4, 4>; MatU = Eigen::Matrix<double, 4, 4>; MatV = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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, 4, 4> >, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::Matrix<double, 4, 4> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:132:5:   required from 'void Eigen::internal::matrix_exp_pade9(const MatA&, MatU&, MatV&) [with MatA = Eigen::Matrix<double, 4, 4>; MatU = Eigen::Matrix<double, 4, 4>; MatV = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:252:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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<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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20:   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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:57:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 4, 4> >; OrthMatrixType = Eigen::Matrix<double, 4, 4>; _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 4, 4>; _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, 2, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:85:128:   required from 'class Eigen::HessenbergDecomposition<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:230:41:   required from 'class Eigen::RealSchur<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_real_op<std::complex<double> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 1> > >, 1>, Eigen::Inverse<Eigen::Matrix<std::complex<double>, 2, 2> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:28:105:   required from 'void Eigen::internal::matrix_sqrt_quasi_triangular_2x2_diagonal_block(const MatrixType&, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, 4, 4>; ResultType = Eigen::Matrix<double, 4, 4>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:130:54:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:111:40:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:73:   required from 'void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, 4, 4>; ResultType = Eigen::Matrix<double, 4, 4>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60:   required from 'void Eigen::internal::matrix_sqrt_quasi_triangular_off_diagonal(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, 4, 4>; ResultType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:185:54:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:63:43:   required from 'void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, 4, 4>; ResultType = Eigen::Matrix<double, 4, 4>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:65:55:   required from 'void Eigen::internal::matrix_sqrt_quasi_triangular_2x1_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, 4, 4>; ResultType = Eigen::Matrix<double, 4, 4>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:153:60:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 2, 2> >, Eigen::Transpose<Eigen::Matrix<double, 1, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:52:67:   required from 'void Eigen::internal::matrix_sqrt_quasi_triangular_1x2_off_diagonal_block(const MatrixType&, Eigen::Index, Eigen::Index, ResultType&) [with MatrixType = Eigen::Matrix<double, 4, 4>; ResultType = Eigen::Matrix<double, 4, 4>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:155:60:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0, 6>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:38:49:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:18:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1, 0, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1, 0, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:68:   required from 'typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, 4, 4>; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 2>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::FullPivLU<Eigen::Matrix<double, 4, 4> >, Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:94:41:   required from 'void Eigen::internal::matrix_sqrt_quasi_triangular_solve_auxiliary_equation(MatrixType&, const MatrixType&, const MatrixType&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:113:56:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:85:   required from 'void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:101:   required from 'void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27:   required from 'MatrixType Eigen::internal::MatrixLogarithmAtomic<MatrixType>::compute(const MatrixType&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h:247:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:85:   required from 'void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:320:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:245:101:   required from 'void Eigen::internal::matrix_log_compute_big(const MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:291:27:   required from 'MatrixType Eigen::internal::MatrixLogarithmAtomic<MatrixType>::compute(const MatrixType&) [with MatrixType = Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixFunction.h:247:23:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:320:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85:   required from 'void Eigen::ColPivHouseholderQR<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >; 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:306:25:   required from 'static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, 4, 4>; MatrixType = Eigen::Matrix<double, 4, 4>; CoeffVectorType = Eigen::Matrix<double, 3, 1>; VectorType = Eigen::Matrix<double, 1, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:161:15:   required from 'Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 4> > >; _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 4, 4>; _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:314:35:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, -1, 0, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, -1, 0, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, -1, 0, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, -1, 0, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, -1, 0, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, -1, 0, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:318:36:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 0>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:700:10:   required from 'Derived& Eigen::DenseBase<Derived>::setOnes() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:31:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:310:46:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 4, 4>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 4, 4>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 4, 4>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 4, 4>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 4, 4>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 1>, 2, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Matrix<double, 3, 1>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix<double, 2, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   required from 'void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Derived = Eigen::Matrix<double, 2, 1>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 3, 3>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 3, 3>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, 3, 3> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:320:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, -1, 0, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, -1, 0, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, -1, 0, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, -1, 0, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, -1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:318:36:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, 3, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 5>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 5>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 1, -1, false>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 4, 4>; Index = long long int; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 4, 4> >; OrthMatrixType = Eigen::Matrix<double, 4, 4>; _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 1, -1, false>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 4, 4>; Index = long long int; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 4, 4> >; OrthMatrixType = Eigen::Matrix<double, 4, 4>; _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 4, 4>; _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 4, 4>; Index = long long int; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 4, 4> >; OrthMatrixType = Eigen::Matrix<double, 4, 4>; _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, 4, false>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 4, 4>; Index = long long int; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 4, 4> >; OrthMatrixType = Eigen::Matrix<double, 4, 4>; _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 4, 4>; _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:113:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, 3, 1>, 2, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Matrix<double, 2, 1>, 1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:43:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34:   required from 'class Eigen::ReturnByValue<Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:339:38:   required from 'struct Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 1, 2, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 1, 2, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 1, 2, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 1, 2, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 1, 2, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:100:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<Eigen::Matrix<std::complex<double>, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 2, 2>, 2, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:147:18:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 3, 3>, Eigen::Matrix<double, 3, 3>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<-1, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<-1, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::Stride<-1, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 3; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, 3, 3>; TranspositionType = Eigen::Transpositions<3, 3, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 4, 4>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 4, 4>, 0, Eigen::Stride<-1, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 4, 4>, 0, Eigen::Stride<-1, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 4, 4>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 4, 4>, 0, Eigen::Stride<-1, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 4, 4>, 0, Eigen::Stride<-1, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 4; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, 4, 4>; TranspositionType = Eigen::Transpositions<4, 4, int>; typename TranspositionType::StorageIndex = int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:293:32:   required from 'Eigen::ComplexSchur<_MatrixType>::ComplexScalar Eigen::ComplexSchur<_MatrixType>::computeShift(Index, Index) [with _MatrixType = Eigen::Matrix<std::complex<double>, 3, 3>; ComplexScalar = std::complex<double>; Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h:434:27:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29:   required from 'struct Eigen::internal::product_triangular_matrix_matrix<double, long long int, 5, true, 0, false, 0, false, 0, 1, 0>'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   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 = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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 = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   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 = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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 = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:86:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 1, 1, 0, 1, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:86:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 2, 2>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:297:21:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 2>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<double, 2, 2>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:281:10:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1, 0, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1, 0, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:525:40:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:598:45:   required from 'void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::internal::member_sum<double, double>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, Eigen::internal::member_sum<double, double>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:44:   required from 'void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7:   required from 'Eigen::FullPivLU<MatrixType>& Eigen::FullPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:520:35:   required from 'void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:85:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 3; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<3, 3, int>, Eigen::Matrix<double, 3, 3>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<3, 3, int>, Eigen::Matrix<double, 3, 3>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<3, 3, int>, Eigen::Matrix<double, 3, 3>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<3, 3, int>, Eigen::Matrix<double, 3, 3>, 2, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<3, 3, int>, Eigen::Matrix<double, 3, 3>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<3, 3, int>, Eigen::Matrix<double, 3, 3>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 4; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 4>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 4>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 4>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 4>, 2, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 4>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 4>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
D:/RCompile/CRANpkg/lib/4.5/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 = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   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 = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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 = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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 = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   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 = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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 = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   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 = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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 = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, 3, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, 3, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>; Workspace = Eigen::Matrix<double, 4, 1>; VectorsType = Eigen::Matrix<double, 4, 4>; CoeffsType = Eigen::Matrix<double, 3, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 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, 4, 4>, 4, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:74:   required from 'typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, 4, 4>; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 4, 4> >; OrthMatrixType = Eigen::Matrix<double, 4, 4>; _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 1>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>, 2, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1, 1, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1, 1, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1, 1, 1, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:68:   required from 'typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, 2, 2>; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 1, 2, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 1, 2, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 1, 2, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 1, 2, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:520:35:   required from 'void Eigen::FullPivLU<MatrixType>::computeInPlace() [with _MatrixType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:85:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 2, 2>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 2>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 2, false>; Derived = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:64:5:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 3, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1, 0, 3, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1, 0, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1, 0, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 3, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 3, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:43:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = 3; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15:   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 = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Lhs = Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>; Rhs = Eigen::Matrix<double, -1, -1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, Eigen::TriangularShape, Eigen::DenseShape, 8>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, 4, 4> >; Functor = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, 4, 4> >; Functor = Eigen::internal::mul_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 4, 4>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, 4, 4> >; Func = mul_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, -1, 0, 4, 4> >; Func = mul_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 2, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 2, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 2, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 2, 2>; Src = Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 2, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 2, 2, false>; Derived = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 2, 2, false>; Derived = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   required from 'Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:306:25:   required from 'static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; MatrixType = Eigen::Matrix<double, 2, 2>; CoeffVectorType = Eigen::Matrix<double, 1, 1, 0, 1, 1>; VectorType = Eigen::Matrix<double, 1, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:161:15:   required from 'Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Matrix<double, 2, 2>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 2, 2> > >; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   required from 'Eigen::EigenSolver<MatrixType>& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:314:35:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1, 0, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1, 0, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, -1, 0, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, -1, 0, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, -1, 0, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, -1, 0, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:318:36:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1, 0, 2, 2>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 2, 1>; Src = Eigen::Block<const Eigen::Matrix<double, 4, 4>, 2, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Matrix<double, 2, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 2>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 2>, -1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:59:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 2, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 2, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 2>; Src = Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 2, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 1, 2, false>; Derived = Eigen::Matrix<double, 1, 2>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 1, 2, false>; Derived = Eigen::Matrix<double, 1, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<2, 2, int>, Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, 3, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, 3, 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 = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<std::complex<double> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, 4, 4>, 4, 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 = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:320:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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<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>'
D:/RCompile/CRANpkg/lib/4.5/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<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> > >'
D:/RCompile/CRANpkg/lib/4.5/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<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> > >'
D:/RCompile/CRANpkg/lib/4.5/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<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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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<> > >'
D:/RCompile/CRANpkg/lib/4.5/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<> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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<> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 2, 1>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1, 0, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, -1, 0, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, -1, 0, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 2, -1, 0, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, -1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:161:11:   required from 'void Eigen::MatrixBase<Derived>::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h:318:36:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 5>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; Index = long long int; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 1, -1, false>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; Index = long long int; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; Index = long long int; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>, -1, 1, true>; OtherScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, 2, false>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41:   required from 'void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix<double, 2, 2>; Index = long long int; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, bool) [with InputType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >, Eigen::internal::IndexBased, std::complex<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >; Functor = assign_op<std::complex<double>, std::complex<double> >]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 2, 2>, 2, 1, true>; SrcXprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, std::complex<double> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, 2, 1, true> >; Functor = Eigen::internal::assign_op<std::complex<double>, std::complex<double> >; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:348:14:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, 4, 4>, Eigen::Matrix<double, 4, 4>, 0>, Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, 3, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, 3, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, 3, 1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 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]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, 4, 4>, 3, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<4, 4, int>, Eigen::Matrix<double, 4, 1>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:769:22:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, -1, 4, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:59:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, 4, 4>; ResultType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, -1, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, -1, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, -1, 1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:320:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::evalTo(Dest&, Workspace&) 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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> > > >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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, 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>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::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>]'
D:/RCompile/CRANpkg/lib/4.5/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::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]'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 4, 4>, 4, 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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 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, 4, 4>, 4, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, -1, true>, 4, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, 4, 4>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, 4, 4>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, 2, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, -1>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>; Workspace = Eigen::Matrix<double, 2, 1>; VectorsType = Eigen::Matrix<double, 2, 2>; CoeffsType = Eigen::Matrix<double, 1, 1, 0, 1, 1>; int Side = 1]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 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, 2, 2>, 2, 1, true>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:74:   required from 'typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix<double, 2, 2>; typename MatrixType::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17:   required from 'Eigen::RealSchur<MatrixType>& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType<Eigen::Matrix<double, 2, 2> >; OrthMatrixType = Eigen::Matrix<double, 2, 2>; _MatrixType = Eigen::Matrix<double, 2, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:386:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false> >':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:386:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 0, -1, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 0, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, const Eigen::Matrix<double, 2, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 4>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::OuterStride<> >, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::OuterStride<> >, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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::OuterStride<> >, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 5; bool Conjugate = false]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, 3, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, 3, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, 3, 3> >, 3, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, 3, 3> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from '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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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, 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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, true>; Src = 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> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, true>; Src = 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> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/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, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false> >, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false> >, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, 4, 4>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, 4, 4>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, 4, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Functor = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Func = add_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, 1, true>; Derived = Eigen::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 2, 1>; Src = Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, false>; Derived = Eigen::Matrix<double, 2, 1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1, 0, 2, 1>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1, 0, 2, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 2, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1, 0, 2, 1>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:29:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 1, 3, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 3, 3>, 3, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>; Rhs = Eigen::Matrix<double, 3, 3>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, 3, 3>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 3, 3>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, 4, 4> >, 4, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, 4, 4> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:360:40:   required from 'void Eigen::internal::matrix_exp_compute(const ArgType&, ResultType&, true_type) [with ArgType = Eigen::Matrix<double, 4, 4>; ResultType = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >, -1, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<std::complex<double> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<std::complex<double>, std::complex<double> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 4, 4> > > >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:320:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -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]'
D:/RCompile/CRANpkg/lib/4.5/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<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:604:10:   required from 'const Eigen::PartialPivLU<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::partialPivLu() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:34:26:   required from 'static typename Eigen::internal::traits<T>::Scalar Eigen::internal::determinant_impl<Derived, DeterminantType>::run(const Derived&) [with Derived = Eigen::Matrix<double, -1, -1>; int DeterminantType = -1; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/Determinant.h:112:86:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::determinant() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
reg-lib/cpu/_reg_maths_eigen.cpp:216:33:   required from 'T reg_matrix2DDet(T**, size_t, size_t) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:220:70:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 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::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::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, 0, 4, 1> >, const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 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::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with 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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 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]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 1>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, 3, 1>; Src = Eigen::Block<Eigen::Matrix<double, 2, 2>, 3, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 4, 4>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 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]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 4, 4>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 2, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 2, 1, false>, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 4, 4>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 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]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 4, 4>, 2, 1, false>, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 2, false> >, 1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 2, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 4>, 1, 4, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 2, 1>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix<double, 2, 1>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 2, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const 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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const 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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const 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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const 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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const 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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 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, 2, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 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, 2, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>; 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, 0, 1, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with 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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 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, 0, 1, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 2, 2>, 2, 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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 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, 2, 2>, 2, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> > >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, -1, true>, 2, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, 2, 2>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1, 0, 2, 2>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, 2, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, Eigen::Matrix<double, 2, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1, 0, 4, 1>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1, 0, 4, 1>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 4, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1, 0, 4, 1>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 4, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/LU/FullPivLU.h:776:29:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, 1, 3, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, 1, 3, false> >, const Eigen::Block<const Eigen::Matrix<double, 3, 3>, 3, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, -1, 4> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 4> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 4> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 0, -1, 4>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 0, -1, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 4, 4>, -1, -1, false>, -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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -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]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -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]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, 1, 2, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1> >, 1, 2, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 2, 1> >, 1, 2, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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> >'
D:/RCompile/CRANpkg/lib/4.5/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>'
D:/RCompile/CRANpkg/lib/4.5/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> > >'
D:/RCompile/CRANpkg/lib/4.5/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>]'
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:236:47:   required from 'bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14:   required from 'Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<double, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<double, -1, -1>]'
reg-lib/cpu/_reg_maths_eigen.cpp:56:38:   required from 'void svd(T**, size_t, size_t, T*, T**) [with T = float; size_t = long long unsigned int]'
reg-lib/cpu/_reg_maths_eigen.cpp:73:78:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -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_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75:   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) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const 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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const 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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const 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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const 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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const 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, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 4, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 4, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false, false>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false> >, -1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false> >, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false> >, -1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>; typename Dest::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, 2, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, 2, 2>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, 2, 2>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, 2, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; Rhs = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>; 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, 4, 4>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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::OuterStride<> >, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 1, 4, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 1, 4, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 1, 4, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 1, 4, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 1, 4, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, Eigen::Matrix<double, 4, 4>, 0>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >; int ProductTag = 3; 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, 4, 4>, Eigen::Matrix<double, 4, 4>, 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, 4, 4> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -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_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75:   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) const [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 4>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 0, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -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]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 0, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4>, -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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -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]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4>, -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, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4>, -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, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4>, -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, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4>, -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, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 0, 4, 4>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -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]'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 4, 4> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 4, 4>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 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::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::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, 0, 2, 1> >, const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 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::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 1, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with 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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::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, 0, 1, 1> >, const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, 4, 1>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 4, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 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]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, 2, 2> >, 2, 1, true>; ResultType = double; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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_abs_op<double>, const Eigen::Matrix<double, 2, 2> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix<double, 2, 1>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<double, 2, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const 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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const 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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const 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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const 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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const 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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 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, 2, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 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, 2, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix<double, 1, 1, 0, 1, 1>; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>; 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, 0, 1, 1>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with 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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >; int ProductTag = 4; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 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, 0, 1, 1> >; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 1, 2, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 1, 4, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, 1, 4, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4> >, 4, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 1, 4, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 1, 4, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 1, 4, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 1, 4, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 4, 4> >, 4, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 3, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 3, 3>, 0, Eigen::OuterStride<> >, 1, 3, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Functor = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, 1, 3, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 3, 3>, 1, 3, false>; Src = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Func = swap_assign_op<double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 3, 3>, 1, 3, false>; Src = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>; Derived = Eigen::Block<Eigen::Matrix<double, 3, 3>, 1, 3, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:256:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, 4, 4>, 0, Eigen::OuterStride<> >, 1, 4, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixExponential.h:414:35:   required from 'void Eigen::MatrixExponentialReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixExponentialReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:273:14:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; DstType = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:127:28:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, 1, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 1, false> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 1>, 1, 1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, -1, 2> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 2> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 2> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 0, -1, 2>; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 0, -1, 2>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 2, 2>, -1, -1, false>, -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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -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]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -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]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 2, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Matrix<double, 1, 1, 0, 1, 1> >, 1, 1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 4, 4>, 1, 4, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; DstType = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Solve.h:127:28:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::unpacket_traits<Eigen::internal::DoublePacket<__vector(2) double> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:746:64: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  746 |   typedef DoublePacket<typename unpacket_traits<Packet>::half> half;
      |                                                                ^~~~
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -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_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75:   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) const [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Matrix<double, 2, 1>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const 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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const 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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const 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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const 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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const 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, 0, 2, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, 2, 1>, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, 2, 1> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block<const Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 1>; SrcXprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/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::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; _MatrixType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; unsigned int _Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:552:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  858 |     dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 4>, -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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 4>, -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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 0, -1, 4>, -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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 4>, -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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -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]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 4, 4> >, const Eigen::Matrix<double, -1, -1, 0, 4, 4> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 4>, -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>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 4>, -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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 0, -1, 4>, -1, -1, true>; Src = 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> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 4>, -1, -1, true>; Src = 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> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/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, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 4>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -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_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:75:   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) const [with Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, 1, -1, 1, 1, 2>, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, 2, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:518:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 0, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -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]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 0, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2>, -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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -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]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, -1, false> >, -1, -1, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2>, -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, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2>, -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, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2>, -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, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2>, -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, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 0, 2, 2>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -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]'
D:/RCompile/CRANpkg/lib/4.5/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, 1, 2, 2> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, 2, 2>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 2, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 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]'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, 1, 2> >, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 2, false>, 1, 2, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 2, false>, 1, 2, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 2, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 2, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>; Rhs = Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>; 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, 2, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  858 |     dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   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 = std::complex<double>; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
D:/RCompile/CRANpkg/lib/4.5/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<std::complex<double> >, Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 0, 3, 3> >, const Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3> > >; Rhs = Eigen::Matrix<std::complex<double>, -1, -1, 0, 3, 3>; int Side = 1; int Mode = 2]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>; Functor = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 1, 1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 4, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>; Func = assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, 4, 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]'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 1>, 1, 1, false>; Src = Eigen::Block<const Eigen::Matrix<double, 4, 1>, 1, 1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1063:38:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1074:45:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, true, false>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 4, false>, 1, 4, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 4, false>, 1, 4, false> >, 2>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 4, false>, 1, 4, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 4, false>, 1, 4, false> > >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true>, 2>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true>, 0>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52:   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) const [with Lhs = Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>; Rhs = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; int ProductTag = 3; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>; 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, 4, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 2, false>, 1, 2, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 2, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -1, 2, false>, 1, 2, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 2, 2>, -1, 2, false>, 1, 2, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex<double>]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 1>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, 3, 3>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; int ProductTag = 3; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 2>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<std::complex<double>, std::complex<double>, long long int, Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>, 1, 4, false, true>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, 3, 3>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; int ProductTag = 3; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:769:20: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  769 |   PACKET_DECL_COND(Real, _PacketSize);
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:3: note: in definition of macro 'PACKET_DECL_COND'
  391 |   name ## Packet
      |   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  775 |     Vectorizable = unpacket_traits<RealPacket>::vectorizable
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:775:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  780 |     RealPacketSize  = Vectorizable ? unpacket_traits<RealPacket>::size : 1,
      |                                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:780:67: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  790 |   typedef DoublePacket<RealPacket>                 DoublePacketType;
      |                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:790:52: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  793 |   typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
      |                                                                        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:793:72: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  794 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:794:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  796 |   typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
      |                                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:796:76: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  799 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:799:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 2>, -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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 2>, -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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 0, -1, 2>, -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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 2>, -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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -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]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, 2, 2> >, const Eigen::Matrix<double, -1, -1, 0, 2, 2> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, false>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 2>, -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>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 2>, -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]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/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, 0, -1, 2>, -1, -1, true>; Src = 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> >; Func = sub_assign_op<double, double>]'
D:/RCompile/CRANpkg/lib/4.5/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, 0, -1, 2>, -1, -1, true>; Src = 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> >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
D:/RCompile/CRANpkg/lib/4.5/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, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 2>, -1, -1, true>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; int ProductTag = 3; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; Lhs = Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  858 |     dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex<double>]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, 3, 3>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; int ProductTag = 3; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >':
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 4, false>, 1, 4, false> >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 4, false>, 1, 4, false> >, Eigen::internal::IndexBased, double>'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 4, false>, 1, 4, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -1, 4, false>, 1, 4, false> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> > >'
D:/RCompile/CRANpkg/lib/4.5/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::Block<const Eigen::Matrix<double, 4, 4>, -1, 4, false>, 1, 4, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixSquareRoot.h:341:63:   required from 'void Eigen::MatrixSquareRootReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 4, 4>; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 4, 4>; Derived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; Derived = Eigen::Matrix<double, 4, 4>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixSquareRootReturnValue<Eigen::Matrix<double, 4, 4> >; _Scalar = double; int _Rows = 4; int _Cols = 4; int _Options = 0; int _MaxRows = 4; int _MaxCols = 4]'
reg-lib/cpu/_reg_maths_eigen.cpp:234:15:   required from here
D:/RCompile/CRANpkg/lib/4.5/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]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 0; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1525:13:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, 3, 3>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; int ProductTag = 3; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; Lhs = Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<std::complex<double>, 3, 3>, 2>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >, Eigen::TriangularShape, Eigen::DenseShape, 3>; Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  858 |     dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
      |                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = true; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, true, false, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = true; bool ConjugateRhs = false; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = true; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, -1, -1, 0, 3, 3>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<std::complex<double>, 3, 3>, -1, -1, false>; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 1; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 1>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1896:8:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, 3, 3>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_traits<std::complex<_Tp>, std::complex<_Tp>, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadLhs(const LhsScalar*, LhsPacket&) const [with RealScalar = double; bool _ConjLhs = false; bool _ConjRhs = true; int Arch = 1; int _PacketSize = 2; LhsScalar = std::complex<double>; LhsPacket = __vector(2) double]':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1198:19:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::peeled_kc_onestep(Eigen::Index, const LhsScalar*, const RhsScalar*, GEBPTraits, LhsPacket*, RhsPacketx4*, RhsPacket*, AccPacket*, AccPacket*, AccPacket*, AccPacket*) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int; RhsPacketx4 = Eigen::internal::QuadPacket<Eigen::internal::DoublePacket<__vector(2) double> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1269:11:   required from 'void Eigen::internal::lhs_process_one_packet<nr, LhsProgress, RhsProgress, LhsScalar, RhsScalar, ResScalar, AccPacket, LhsPacket, RhsPacket, ResPacket, GEBPTraits, LinearMapper, DataMapper>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, ResScalar, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, int, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with int nr = 4; long long int LhsProgress = 1; long long int RhsProgress = 1; LhsScalar = std::complex<double>; RhsScalar = std::complex<double>; ResScalar = std::complex<double>; AccPacket = Eigen::internal::DoublePacket<__vector(2) double>; LhsPacket = __vector(2) double; RhsPacket = Eigen::internal::DoublePacket<__vector(2) double>; ResPacket = Eigen::internal::Packet1cd; GEBPTraits = Eigen::internal::gebp_traits<std::complex<double>, std::complex<double>, false, true, 1, 2>; LinearMapper = Eigen::internal::BlasLinearMapper<std::complex<double>, long long int, 0, 1>; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; Eigen::Index = long long int]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1902:8:   required from '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 = std::complex<double>; RhsScalar = std::complex<double>; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<std::complex<double>, long long int, 0, 0, 1>; int mr = 1; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = true; ResScalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22:   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 = std::complex<double>; Index = long long int; int Mode = 2; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = true; int ResInnerStride = 1; int Version = 0]'
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 3, 3>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<std::complex<double>, 3, 3>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Matrix<std::complex<double>, 3, 3> > >; typename Dest::Scalar = std::complex<double>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/MatrixFunctions/MatrixLogarithm.h:342:87:   required from 'void Eigen::MatrixLogarithmReturnValue<Derived>::evalTo(ResultType&) const [with ResultType = Eigen::Matrix<double, 3, 3>; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:62:48:   required from 'void Eigen::ReturnByValue<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<double, 3, 3>; Derived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Assign.h:84:25:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:468:29:   required from 'Derived& Eigen::PlainObjectBase<Derived>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; Derived = Eigen::Matrix<double, 3, 3>]'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:245:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::ReturnByValue<OtherDerived>&) [with OtherDerived = Eigen::MatrixLogarithmReturnValue<Eigen::Matrix<double, 3, 3> >; _Scalar = double; int _Rows = 3; int _Cols = 3; int _Options = 0; int _MaxRows = 3; int _MaxCols = 3]'
reg-lib/cpu/_reg_maths_eigen.cpp:303:24:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:858:29: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:341:
D:/RCompile/CRANpkg/lib/4.5/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, 2, 2>, -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, 1, 1, 2> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 2, 2>, -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/4.5/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/4.5/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>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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, 4, 4>, -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, 1, 1, 4> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, 4, 4>, -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/4.5/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/4.5/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>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.5/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<std::complex<double>, 4, 4>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<std::complex<double>, std::complex<double> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<std::complex<double> >, const Eigen::Matrix<std::complex<double>, 1, -1, 1, 1, 4> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_conjugate_op<std::complex<double> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<std::complex<double>, 4, 4>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<std::complex<double>, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]':
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type 'const std::complex<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 = std::complex<double>; bool ConjLhs = false; RhsScalar = std::complex<double>; bool ConjRhs = true; 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 -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/_reg_nmi.cpp -o reg-lib/cpu/_reg_nmi.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_tools.h:19,
                 from reg-lib/cpu/_reg_measure.h:11,
                 from reg-lib/cpu/_reg_nmi.h:15,
                 from reg-lib/cpu/_reg_nmi.cpp:15:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/_reg_optimiser.cpp -o reg-lib/cpu/_reg_optimiser.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_optimiser.h:9,
                 from reg-lib/cpu/_reg_optimiser.cpp:9:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/_reg_resampling.cpp -o reg-lib/cpu/_reg_resampling.o
reg-lib/cpu/_reg_resampling.cpp:1420:1: warning: multi-line comment [-Wcomment]
 1420 | //#pragma omp parallel for default(none) \
      | ^
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_resampling.cpp:16:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
reg-lib/cpu/_reg_resampling.cpp: In function 'void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = unsigned char]':
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXX' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:23: note: 'warpedXX' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                       ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:33: note: 'warpedXY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                 ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:43: note: 'warpedXZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                           ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:53: note: 'warpedYY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                     ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:63: note: 'warpedYZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                               ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedZZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:73: note: 'warpedZZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                                         ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp: In function 'void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = char]':
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXX' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:23: note: 'warpedXX' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                       ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:33: note: 'warpedXY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                 ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:43: note: 'warpedXZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                           ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:53: note: 'warpedYY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                     ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:63: note: 'warpedYZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                               ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedZZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:73: note: 'warpedZZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                                         ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp: In function 'void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = short unsigned int]':
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXX' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:23: note: 'warpedXX' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                       ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:33: note: 'warpedXY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                 ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:43: note: 'warpedXZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                           ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:53: note: 'warpedYY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                     ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:63: note: 'warpedYZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                               ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedZZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:73: note: 'warpedZZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                                         ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp: In function 'void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = short int]':
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXX' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:23: note: 'warpedXX' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                       ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:33: note: 'warpedXY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                 ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:43: note: 'warpedXZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                           ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:53: note: 'warpedYY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                     ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:63: note: 'warpedYZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                               ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedZZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:73: note: 'warpedZZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                                         ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp: In function 'void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = unsigned int]':
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXX' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:23: note: 'warpedXX' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                       ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:33: note: 'warpedXY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                 ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:43: note: 'warpedXZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                           ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:53: note: 'warpedYY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                     ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:63: note: 'warpedYZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                               ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedZZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:73: note: 'warpedZZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                                         ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp: In function 'void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = int]':
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXX' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:23: note: 'warpedXX' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                       ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:33: note: 'warpedXY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                 ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:43: note: 'warpedXZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                           ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:53: note: 'warpedYY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                     ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:63: note: 'warpedYZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                               ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedZZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:73: note: 'warpedZZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                                         ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp: In function 'void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = float]':
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXX' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:23: note: 'warpedXX' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                       ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:33: note: 'warpedXY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                 ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:43: note: 'warpedXZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                           ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:53: note: 'warpedYY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                     ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:63: note: 'warpedYZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                               ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedZZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:73: note: 'warpedZZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                                         ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp: In function 'void reg_dti_resampling_postprocessing(nifti_image*, int*, mat33*, int*, nifti_image*) [with DTYPE = double]':
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXX' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:23: note: 'warpedXX' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                       ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:33: note: 'warpedXY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                 ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedXZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:43: note: 'warpedXZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                           ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYY' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:53: note: 'warpedYY' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                     ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedYZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:63: note: 'warpedYZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                               ^~~~~~~~
reg-lib/cpu/_reg_resampling.cpp:266:9: warning: 'warpedZZ' may be used uninitialized [-Wmaybe-uninitialized]
  266 | #pragma omp parallel for default(none) \
      |         ^~~
reg-lib/cpu/_reg_resampling.cpp:231:73: note: 'warpedZZ' was declared here
  231 |       DTYPE *warpVox,*warpedXX,*warpedXY,*warpedXZ,*warpedYY,*warpedYZ,*warpedZZ;
      |                                                                         ^~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/_reg_splineBasis.cpp -o reg-lib/cpu/_reg_splineBasis.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_tools.h:19,
                 from reg-lib/cpu/_reg_splineBasis.h:15,
                 from reg-lib/cpu/_reg_splineBasis.cpp:15:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17  -I"D:/RCompile/recent/R/include" -DNDEBUG -DNDEBUG -DHAVE_R -DHAVE_ZLIB -I. -Ireg-lib -Ireg-lib/cpu -I'D:/RCompile/CRANpkg/lib/4.5/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.5/RNifti/include'   -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -DSTRICT_R_HEADERS=1  -fopenmp   -pedantic -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign   -c reg-lib/cpu/_reg_tools.cpp -o reg-lib/cpu/_reg_tools.o
In file included from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigen.h:25,
                 from reg-lib/cpu/_reg_maths.h:23,
                 from reg-lib/cpu/_reg_tools.h:19,
                 from reg-lib/cpu/_reg_tools.cpp:17:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/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/4.5/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
D:/RCompile/CRANpkg/lib/4.5/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/4.5/RcppEigen/include/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/4.5/RcppEigen/include/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/4.5/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/4.5/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/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/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/4.5/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
D:/RCompile/CRANpkg/lib/4.5/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
D:/RCompile/CRANpkg/lib/4.5/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;
      |                              ^~~~~~~~~~~~~~~~
g++ -std=gnu++17 -shared -s -static-libgcc -o RNiftyReg.dll tmp.def main.o helpers.o RNifti.o AffineMatrix.o DeformationField.o aladin.o f3d.o reg-lib/AladinContent.o reg-lib/Platform.o reg-lib/_reg_aladin.o reg-lib/_reg_aladin_sym.o reg-lib/_reg_base.o reg-lib/_reg_f3d.o reg-lib/_reg_f3d2.o reg-lib/_reg_f3d_sym.o reg-lib/cpu/CPUAffineDeformationFieldKernel.o reg-lib/cpu/CPUBlockMatchingKernel.o reg-lib/cpu/CPUConvolutionKernel.o reg-lib/cpu/CPUKernelFactory.o reg-lib/cpu/CPUOptimiseKernel.o reg-lib/cpu/CPUResampleImageKernel.o reg-lib/cpu/_reg_blockMatching.o reg-lib/cpu/_reg_globalTrans.o reg-lib/cpu/_reg_localTrans.o reg-lib/cpu/_reg_localTrans_jac.o reg-lib/cpu/_reg_localTrans_regul.o reg-lib/cpu/_reg_maths.o reg-lib/cpu/_reg_maths_eigen.o reg-lib/cpu/_reg_nmi.o reg-lib/cpu/_reg_optimiser.o reg-lib/cpu/_reg_resampling.o reg-lib/cpu/_reg_splineBasis.o reg-lib/cpu/_reg_tools.o -fopenmp -Ld:/rtools44/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools44/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR
installing to d:/RCompile/CRANincoming/R-devel/lib/00LOCK-RNiftyReg/00new/RNiftyReg/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 (RNiftyReg)