{
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  "Package": "plsRcox",
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  "Date": "2026-03-24",
  "biocViews": "",
  "Title": "Partial Least Squares Regression for Cox Models and Related\nTechniques",
  "Authors@R": "c(\nperson(given = \"Frederic\", family= \"Bertrand\", role = c(\"cre\", \"aut\"), email = \"frederic.bertrand@lecnam.net\", comment = c(ORCID = \"0000-0002-0837-8281\")),\nperson(given = \"Myriam\", family= \"Maumy-Bertrand\", role = c(\"aut\"), email = \"myriam.maumy@ehesp.fr\", comment = c(ORCID = \"0000-0002-4615-1512\")))",
  "Author": "Frederic Bertrand [cre, aut]\n(<https://orcid.org/0000-0002-0837-8281>), Myriam\nMaumy-Bertrand [aut] (<https://orcid.org/0000-0002-4615-1512>)",
  "Maintainer": "Frederic Bertrand <frederic.bertrand@lecnam.net>",
  "Description": "Provides Partial least squares Regression and various\nregular, sparse or kernel, techniques for fitting Cox models in\nhigh dimensional settings <doi:10.1093/bioinformatics/btu660>,\nBastien, P., Bertrand, F., Meyer N., Maumy-Bertrand, M. (2015),\nDeviance residuals-based sparse PLS and sparse kernel PLS\nregression for censored data, Bioinformatics, 31(3):397-404.\nCross validation criteria were studied in\n<doi:10.48550/arXiv.1810.02962>, Bertrand, F., Bastien, Ph. and\nMaumy-Bertrand, M. (2018), Cross validating extensions of\nkernel, sparse or regular partial least squares regression\nmodels to censored data.",
  "License": "GPL-3",
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      "title": "Fitting a Direct Kernel PLS model on the (Deviance) Residuals",
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