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fastPLS: Fast Partial Least Squares for High-Dimensional Data

Fast implementations of partial least squares models for high-dimensional regression and classification. The 'fastPLS' software provides compiled implementations of PLS-SVD, a SIMPLS-family estimator, OPLS and kernel PLS, together with truncated singular value decomposition backends, discriminant classifiers, cross-validation utilities and optional 'CUDA' or Apple 'Metal' acceleration when the required system libraries are available. Compact latent prediction and memory-aware numerical routes support analyses with large predictor or multivariate-response matrices.

Version: 0.3
Depends: R (≥ 4.6.0)
Imports: methods, float
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-09-28
DOI: 10.32614/CRAN.package.fastPLS
Author: Stefano Cacciatore ORCID iD [aut, cre], Dupe Ojo ORCID iD [aut], Leonardo Tenori ORCID iD [aut], Alessia Vignoli ORCID iD [aut]
Maintainer: Stefano Cacciatore <tkcaccia at gmail.com>
BugReports: https://github.com/tkcaccia/fastPLS/issues
License: MIT + file LICENSE
URL: https://github.com/tkcaccia/fastPLS
NeedsCompilation: yes
SystemRequirements: Optional OpenBLAS development libraries for faster CPU matrix operations; optional NVIDIA CUDA Toolkit with CUDA Runtime, cuBLAS, cuSOLVER and cuRAND plus a compatible separately managed NVIDIA driver; optional Apple Metal framework on macOS. CPU-only builds do not require GPU software.
Materials: README, NEWS, INSTALL
CRAN checks: fastPLS results [issues need fixing before 2026-10-20]

Documentation:

Reference manual: fastPLS.html , fastPLS.pdf
Vignettes: fastPLS User Guide (source, R code)
Installing fastPLS (source, R code)

Downloads:

Package source: fastPLS_0.3.tar.gz
Windows binaries: r-devel: fastPLS_0.3.zip, r-release: fastPLS_0.3.zip, r-oldrel: fastPLS_0.2.zip
macOS binaries: r-release (arm64): fastPLS_0.3.tgz, r-oldrel (arm64): fastPLS_0.2.tgz, r-release (x86_64): fastPLS_0.3.tgz, r-oldrel (x86_64): fastPLS_0.2.tgz
Old sources: fastPLS archive

Reverse dependencies:

Reverse imports: harf

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fastPLS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.