Generalization of supervised principal component regression (SPCR; Bair et al., 2006, <doi:10.1198/016214505000000628>) to support continuous, binary, and discrete variables as outcomes and predictors (inspired by the 'superpc' R package <https://cran.r-project.org/package=superpc>).
Version: 0.9.5 Depends: R (≥ 2.10) Imports: dplyr, FactoMineR, ggplot2, MASS, MLmetrics, nnet, PCAmixdata, reshape2, rlang Suggests: knitr, lmtest, patchwork, rmarkdown, superpc, testthat (≥ 3.0.0) Published: 2024-04-12 DOI: 10.32614/CRAN.package.gspcr Author: Edoardo Costantini [aut, cre] Maintainer: Edoardo Costantini <costantini.edoardo at yahoo.com> License: MIT + file LICENSE NeedsCompilation: no Materials: README CRAN checks: gspcr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=gspcr to link to this page.
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