Package: spls 2.3-3

spls: Sparse Partial Least Squares (SPLS) Regression and Classification

Provides functions for fitting a sparse partial least squares (SPLS) regression and classification (Chun and Keles (2010) <doi:10.1111/j.1467-9868.2009.00723.x>).

Authors:Dongjun Chung [aut], Hyonho Chun [aut], Sunduz Keles [aut], Valentin Todorov [cre]

spls_2.3-3.tar.gz
spls_2.3-3.zip(r-4.7)spls_2.3-3.zip(r-4.6)spls_2.3-3.zip(r-4.5)
spls_2.3-3.tgz(r-4.6-any)spls_2.3-3.tgz(r-4.5-any)
spls_2.3-3.tar.gz(r-4.7-any)spls_2.3-3.tar.gz(r-4.6-any)
spls_2.3-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
spls/json (API)

# Install 'spls' in R:
install.packages('spls', repos = c('https://valentint.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/valentint/spls/issues

Datasets:
  • lymphoma - Lymphoma Gene Expression Dataset
  • mice - Mice Dataset
  • prostate - Prostate Tumor Gene Expression Dataset
  • yeast - Yeast Cell Cycle Dataset

On CRAN:

Conda:

8.92 score 9 packages 163 scripts 13k downloads 23 mentions 20 exports 3 dependencies

Last updated from:77be94a54f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK132
source / vignettesOK157
linux-release-x86_64OK102
macos-release-arm64OK119
macos-oldrel-arm64OK121
windows-develOK83
windows-releaseOK82
windows-oldrelOK91
wasm-releaseOK95

Exports:ci.splscoef.sgplscoef.splscoef.splsdacoefplot.splscorrect.splscv.sgplscv.splscv.splsdaheatmap.splsplot.splspredict.sgplspredict.splspredict.splsdaprint.sgplsprint.splsprint.splsdasgplssplssplsda

Dependencies:MASSnnetpls

Sparse PLS

Rendered fromspls-example.Rnwusingutils::Sweaveon May 21 2026.

Last update: 2025-06-27
Started: 2025-06-27