Package: NPLStoolbox
Title: N-Way Partial Least Squares Modelling of Multi-Way Data
Version: 1.1.0
Authors@R: c(
    person("Geert Roelof", "van der Ploeg", , "g.r.ploeg@uva.nl", role = c("aut", "cre"),
           comment = c(ORCID = "0009-0007-5204-3386")),
    person("Johan", "Westerhuis", , "j.a.westerhuis@uva.nl", role = "ctb",
           comment = c(ORCID = "0000-0002-6747-9779")),
    person("Anna", "Heintz-Buschart", , "a.u.s.heintzbuschart@uva.nl", role = "ctb",
           comment = c(ORCID = "0000-0002-9780-1933")),
    person("Age", "Smilde", , "a.k.smilde@uva.nl", role = "ctb",
           comment = c(ORCID = "0000-0002-3052-4644")),
    person("University of Amsterdam", role = c("cph", "fnd")))
Description: Creation and selection of N-way Partial Least Squares (NPLS) models. Selection of the optimal number of components can be done using ncrossreg(). NPLS was originally described by Rasmus Bro, see <doi:10.1002/%28SICI%291099-128X%28199601%2910%3A1%3C47%3A%3AAID-CEM400%3E3.0.CO%3B2-C>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: dplyr, parafac4microbiome, pracma, rTensor, stats
Depends: R (>= 2.10)
LazyData: true
Suggests: ggplot2, ggpubr, knitr, rmarkdown, testthat (>= 3.0.0), tidyr
Config/testthat/edition: 3
URL: https://github.com/GRvanderPloeg/NPLStoolbox,
        https://grvanderploeg.com/NPLStoolbox/
BugReports: https://github.com/GRvanderPloeg/NPLStoolbox/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-31 08:12:22 UTC; rploeg
Author: Geert Roelof van der Ploeg [aut, cre] (ORCID:
    <https://orcid.org/0009-0007-5204-3386>),
  Johan Westerhuis [ctb] (ORCID: <https://orcid.org/0000-0002-6747-9779>),
  Anna Heintz-Buschart [ctb] (ORCID:
    <https://orcid.org/0000-0002-9780-1933>),
  Age Smilde [ctb] (ORCID: <https://orcid.org/0000-0002-3052-4644>),
  University of Amsterdam [cph, fnd]
Maintainer: Geert Roelof van der Ploeg <g.r.ploeg@uva.nl>
Repository: CRAN
Date/Publication: 2025-07-31 08:30:02 UTC
Built: R 4.6.0; ; 2025-10-11 04:21:19 UTC; windows
