r-cran-factominer - 1.41-2 main

Exploratory data analysis methods to summarize, visualize and describe
datasets. The main principal component methods are available, those with
the largest potential in terms of applications: principal component
analysis (PCA) when variables are quantitative, correspondence analysis
(CA) and multiple correspondence analysis (MCA) when variables are
categorical, Multiple Factor Analysis when variables are structured in
groups, etc. and hierarchical cluster analysis.