Package: ddsPLS
Type: Package
Title: Data-Driven Sparse Partial Least Squares
Version: 1.2.1
Author: Hadrien Lorenzo
Maintainer: Hadrien Lorenzo <hadrien.lorenzo.2015@gmail.com>
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: foreach, R (>= 2.10)
Imports: Rcpp (>= 1.0.5), doParallel, shiny, RColorBrewer
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, MASS
VignetteBuilder: knitr
RoxygenNote: 7.3.0
Config/pak/sysreqs: cmake make libuv1-dev zlib1g-dev
Repository: https://hlorenzo.r-universe.dev
Date/Publication: 2025-04-08 18:51:16 UTC
RemoteUrl: https://github.com/hlorenzo/ddspls
RemoteRef: HEAD
RemoteSha: 9a433fc708efde932358f584f438bafbd80a07b2
NeedsCompilation: yes
Packaged: 2026-06-21 07:56:30 UTC; root