Partial Least Squares Regression for Cox Models and Related Techniques R package plsRcox version 1.8.2 Classification/MSC: 62N01, 62N02, 62N03, 62N99 CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival) Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings <doi:10.1093/bioinformatics/btu660>, Bastien, P., Bertrand, F., Meyer N., Maumy-Bertrand, M. (2015), Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Bioinformatics, 31(3):397-404. Cross validation criteria were studied in <doi:10.48550/arXiv.1810.02962>, Bertrand, F., Bastien, Ph. and Maumy-Bertrand, M. (2018), Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data. Software Depends: R (>= 2.4.0) Imports: survival, plsRglm, lars, pls, kernlab, mixOmics, risksetROC, survcomp, survAUC, rms Suggests: survivalROC, plsdof, testthat (>= 3.0.0) Frederic Bertrand <frederic.bertrand@lecnam.net> Comprehensive R Archive Network (CRAN) Frederic Bertrand [cre, aut] (ORCID: <https://orcid.org/0000-0002-0837-8281>), Myriam Maumy-Bertrand [aut] (ORCID: <https://orcid.org/0000-0002-4615-1512>) GPL-3 2026-03-24 application/tgz https://CRAN.R-project.org/package=plsRcox doi:10.32614/CRAN.package.plsRcox