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To cite the plsRcox package in publications use:

Bertrand F, Maumy-Bertrand M (2021). Bootstrap Hyperparameter Selection for PLS Models and Extensions. R package version 0.9.9, https://fbertran.github.io/bootPLS/.

Magnanensi J, Maumy-Bertrand M, Meyer N, Bertrand F (2016). “A new bootstrap-based stopping criterion in PLS component construction.” The Multiple Facets of Partial Least Squares and Related Methods.

Magnanensi J, Maumy-Bertrand M, Meyer N, Bertrand F (2017). “A new universal resample-stable bootstrap-based stopping criterion for PLS component construction.” Statistics and Compututing.

Magnanensi J, Maumy-Bertrand M, Meyer N, Bertrand F (2021). “New developments in Sparse PLS regression.” Frontiers in Applied Mathematics and Statistics.

Corresponding BibTeX entries:

  @Manual{,
    title = {Bootstrap Hyperparameter Selection for PLS Models and
      Extensions},
    author = {F. Bertrand and M. Maumy-Bertrand},
    publisher = {manual},
    year = {2021},
    note = {R package version 0.9.9},
    url = {https://fbertran.github.io/bootPLS/},
  }
  @Article{,
    title = {A new bootstrap-based stopping criterion in PLS component
      construction},
    author = {J. Magnanensi and M. Maumy-Bertrand and N. Meyer and F.
      Bertrand},
    year = {2016},
    journal = {The Multiple Facets of Partial Least Squares and Related
      Methods},
  }
  @Article{,
    title = {A new universal resample-stable bootstrap-based stopping
      criterion for PLS component construction},
    author = {J. Magnanensi and M. Maumy-Bertrand and N. Meyer and F.
      Bertrand},
    year = {2017},
    journal = {Statistics and Compututing},
  }
  @Article{,
    title = {New developments in Sparse PLS regression},
    author = {J. Magnanensi and M. Maumy-Bertrand and N. Meyer and F.
      Bertrand},
    year = {2021},
    journal = {Frontiers in Applied Mathematics and Statistics},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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