Supervised Principal Components R package superpc version 1.12 CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival) Does prediction in the case of a censored survival outcome, or a regression outcome, using the "supervised principal component" approach. 'Superpc' is especially useful for high-dimensional data when the number of features p dominates the number of samples n (p >> n paradigm), as generated, for instance, by high-throughput technologies. Software Depends: R (>= 3.5.0) Imports: survival, stats, graphics, grDevices Jean-Eudes Dazard <jean-eudes.dazard@case.edu> Comprehensive R Archive Network (CRAN) Eric Bair [aut], Jean-Eudes Dazard [cre, ctb], Rob Tibshirani [ctb] GPL (>= 3) file LICENSE (https://CRAN.R-project.org/package=superpc/LICENSE) 2020-10-19 application/tgz https://CRAN.R-project.org/package=superpc doi:10.32614/CRAN.package.superpc