Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA) R package LearnPCA version 0.3.4 CRAN Task View: ChemPhys (https://CRAN.R-project.org/view=ChemPhys) Principal component analysis (PCA) is one of the most widely used data analysis techniques. This package provides a series of vignettes explaining PCA starting from basic concepts. The primary purpose is to serve as a self-study resource for anyone wishing to understand PCA better. A few convenience functions are provided as well. Software Depends: rpart, class, nnet Imports: markdown, shiny, stats, graphics Suggests: ChemoSpec, chemometrics, knitr, tinytest, roxut, rmarkdown, plot3D, ade4, plotrix, latex2exp, plotly, xtable, bookdown, Bryan A. Hanson <hanson@depauw.edu> Comprehensive R Archive Network (CRAN) Bryan A. Hanson [aut, cre] (ORCID: <https://orcid.org/0000-0003-3536-8246>), David T. Harvey [aut] GPL-3 2024-04-26 application/tgz https://CRAN.R-project.org/package=LearnPCA doi:10.32614/CRAN.package.LearnPCA