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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 "ppls" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'ppls: Penalized Partial Least Squares'
version: 2.1.0
doi: 10.1016/j.chemolab.2008.06.009
identifiers:
- type: doi
  value: 10.32614/CRAN.package.ppls
abstract: Linear and nonlinear regression methods based on Partial Least Squares and
  Penalization Techniques. Model parameters are selected via cross-validation, and
  confidence intervals and tests for the regression coefficients can be conducted
  via jackknifing. The method is described and applied to simulated and experimental
  data in Kraemer et al. (2008) <https://doi.org/10.1016/j.chemolab.2008.06.009>.
authors:
- family-names: Kraemer
  given-names: Nicole
- family-names: Boulesteix
  given-names: Anne-Laure
- family-names: Guillemot
  given-names: Vincent
  email: contact@vincentguillemot.fr
preferred-citation:
  type: article
  title: Penalized Partial Least Squares with Applications to B-Spline Transformations
    and Functional Data
  authors:
  - family-names: Kraemer
    given-names: Nicole
  - family-names: Boulesteix
    given-names: Anne-Laure
  - family-names: Tutz
    given-names: Gerhard
  journal: Chemometrics and Intelligent Laboratory Systems
  year: '2008'
  volume: '94'
  doi: 10.1016/j.chemolab.2008.06.009
  start: 60–69
repository: https://vguillemot.r-universe.dev
commit: f84d232c261b333910e0cd10a32487047de1778b
date-released: '2026-09-15'
contact:
- family-names: Guillemot
  given-names: Vincent
  email: contact@vincentguillemot.fr