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CRAN: Package ddsPLS

ddsPLS: Data-Driven Sparse Partial Least Squares

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.

Version: 1.2.1 Depends: foreach, R (≥ 2.10) Imports: Rcpp (≥ 1.0.5), doParallel, shiny, RColorBrewer LinkingTo: Rcpp, RcppEigen Suggests: knitr, rmarkdown, MASS Published: 2024-01-30 DOI: 10.32614/CRAN.package.ddsPLS Author: Hadrien Lorenzo Maintainer: Hadrien Lorenzo <hadrien.lorenzo.2015 at gmail.com> License: MIT + file LICENSE NeedsCompilation: yes Citation: ddsPLS citation info Materials: README CRAN checks: ddsPLS results Documentation: Reference manual: ddsPLS.pdf Vignettes: Data-Driven Sparse PLS (ddsPLS)
Downloads: Package source: ddsPLS_1.2.1.tar.gz Windows binaries: r-devel: ddsPLS_1.2.1.zip, r-release: ddsPLS_1.2.1.zip, r-oldrel: ddsPLS_1.2.1.zip macOS binaries: r-release (arm64): ddsPLS_1.2.1.tgz, r-oldrel (arm64): ddsPLS_1.2.1.tgz, r-release (x86_64): ddsPLS_1.2.1.tgz, r-oldrel (x86_64): ddsPLS_1.2.1.tgz Old sources: ddsPLS archive Linking:

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