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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "fastPLS" in publications use:'
type: software
license: MIT
title: 'fastPLS: Fast Partial Least Squares for High-Dimensional Data'
version: '0.3'
doi: 10.32614/CRAN.package.fastPLS
abstract: 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.
authors:
- family-names: Cacciatore
  given-names: Stefano
  email: tkcaccia@gmail.com
  orcid: https://orcid.org/0000-0001-7052-7156
- family-names: Ojo
  given-names: Dupe
  email: dupe.ojo@icgeb.org
  orcid: https://orcid.org/0000-0002-5301-8592
- family-names: Tenori
  given-names: Leonardo
  email: tenori@cerm.unifi.it
  orcid: https://orcid.org/0000-0001-6438-059X
- family-names: Vignoli
  given-names: Alessia
  email: vignoli@cerm.unifi.it
  orcid: https://orcid.org/0000-0003-4038-6596
repository: https://tkcaccia.r-universe.dev
repository-code: https://github.com/tkcaccia/fastPLS
commit: 17424f9228dac6c87a3f6e2b93a752a7609c016a
url: https://github.com/tkcaccia/fastPLS
date-released: '2026-09-26'
contact:
- family-names: Cacciatore
  given-names: Stefano
  email: tkcaccia@gmail.com
  orcid: https://orcid.org/0000-0001-7052-7156