Data-Driven Sparse Partial Least Squares R package ddsPLS version 1.2.1 A sparse Partial Least Squares implementation which uses soft-threshold estimation of the covariance matrices and therein introduces sparsity. Number of components and regularization coefficients are automatically set. Software Depends: foreach, R (>= 2.10) Imports: Rcpp (>= 1.0.5), doParallel, shiny, RColorBrewer LinkingTo: Rcpp, RcppEigen Suggests: knitr, rmarkdown, MASS Hadrien Lorenzo <hadrien.lorenzo.2015@gmail.com> Comprehensive R Archive Network (CRAN) Hadrien Lorenzo MIT + file LICENSE (https://CRAN.R-project.org/package=ddsPLS/LICENSE) 2024-01-30 application/tgz https://CRAN.R-project.org/package=ddsPLS doi:10.32614/CRAN.package.ddsPLS