Package: plsdepot
Type: Package
Title: Partial Least Squares (PLS) Data Analysis Methods
Version: 0.2.0
Date: 2023-03-12
Authors@R: c(
  person(given = "Frederic", family= "Bertrand", role = c("cre"), email = "frederic.bertrand@utt.fr", comment = c(ORCID = "0000-0002-0837-8281")),
  person("Gaston", "Sanchez", role=c("aut"), email = "gaston.stat@gmail.com"))
Author: Frederic Bertrand [cre] (<https://orcid.org/0000-0002-0837-8281>),
  Gaston Sanchez [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>
Description: Different methods for PLS analysis of
        one or two data tables such as Tucker's Inter-Battery, NIPALS,
        SIMPLS, SIMPLS-CA, PLS Regression, and PLS Canonical Analysis.
        The main reference for this software is the awesome book (in
        French) 'La Regression PLS: Theorie et Pratique' by Michel
        Tenenhaus.
Depends: R (>= 2.15.1)
Suggests: FactoMineR
License: GPL-3
LazyLoad: yes
Collate: 'nipals.R' 'plot.nipals.R' 'plot.plsca.R' 'plot.plsreg1.R'
        'plot.plsreg2.R' 'plsca.R' 'plsreg1.R' 'plsreg2.R'
        'print.nipals.R' 'print.plsca.R' 'print.plsreg1.R'
        'print.plsreg2.R' 'interbat.R' 'plot.interbat.R'
        'print.interbat.R' 'print.simpls.R' 'print.simplsca.R'
        'simpls.R' 'simplsca.R' 'plot.simpls.R' 'plot.simplsca.R'
Encoding: UTF-8
RoxygenNote: 7.2.1
NeedsCompilation: no
Packaged: 2023-03-13 09:26:12 UTC; fbertran
Repository: CRAN
Date/Publication: 2023-03-13 10:00:02 UTC
Built: R 4.2.0; ; 2023-04-01 14:45:58 UTC; unix
