Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction R package ICtest version 0.3-7 For different linear dimension reduction methods like principal components analysis (PCA), independent components analysis (ICA) and supervised linear dimension reduction tests and estimates for the number of interesting components (ICs) are provided. Software Depends: JADE, ICS (>= 1.4-0), ggplot2 Imports: stats, graphics, Rcpp (>= 0.12.3), ICSNP, survey, GGally, png, zoo, xts, RcppRoll, mvtnorm, progress, utils LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, fICA Klaus Nordhausen <klausnordhausenR@gmail.com> Comprehensive R Archive Network (CRAN) Klaus Nordhausen [aut, cre] (ORCID: <https://orcid.org/0000-0002-3758-8501>), Hannu Oja [aut] (ORCID: <https://orcid.org/0000-0002-4945-5976>), Katariina Perkonoja [aut] (ORCID: <https://orcid.org/0000-0002-3812-0871>), David E. Tyler [aut], Joni Virta [aut] (ORCID: <https://orcid.org/0000-0002-2150-2769>) GPL (>= 2) 2026-04-02 application/tgz https://CRAN.R-project.org/package=ICtest doi:10.32614/CRAN.package.ICtest