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
NeedsCompilation: yes
Packaged: 2024-01-30 08:01:27 UTC; lorenzo
Repository: CRAN
Date/Publication: 2024-01-30 08:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 12:39:11 UTC; unix
Archs: ddsPLS.so.dSYM
