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title: 'pls4all: Partial Least Squares and Chemometrics Engine'
version: 0.99.0
doi: 10.32614/CRAN.package.pls4all
abstract: 'A portable Partial Least Squares engine for chemometrics: the slim, PLS-focused
  distribution carved from the ''nirs4all-methods'' library. It ships every method
  built on the shared PLS core (NIPALS, SIMPLS, SVD, kernel, wide-kernel, orthogonal-scores,
  power, randomized SVD, PCR): regression variants (sparse SIMPLS, CPPLS, weighted,
  robust, ridge, continuum, multi-block, GLM, MIR), adaptive AOM-PLS / POP-PLS operator
  selection, variable-selection methods (SPA, CARS, GA, random frog, stability selection,
  VIP), PLS diagnostics (Hotelling T2, Q residuals, DModX), and calibration transfer
  (PDS, DS). The spectroscopy-specific surface (spectral preprocessing, augmentation,
  sample filters, signal-type detection) lives in the full ''nirs4all-methods'' distribution.
  The same C++17 numerical core powers both; here it is vendored and compiled from
  source at install time, with no external system libraries required.'
authors:
- family-names: Beurier
  given-names: Gregory
  email: gregory.beurier@cirad.fr
repository: https://gbeurier.r-universe.dev
repository-code: https://github.com/GBeurier/nirs4all-methods
commit: 288e2a888054663484f332ee2a69209c2bb071d2
url: https://github.com/GBeurier/nirs4all-methods
date-released: '2026-05-20'
contact:
- family-names: Beurier
  given-names: Gregory
  email: gregory.beurier@cirad.fr