RankPCA

cranv0.1.0

Rank of Variables Based on Principal Component Analysis for Mixed Data Types. Principal Component Analysis (PCA) is a statistical technique used to reduce the dimensionality of a dataset while preserving as much variability as possible. By transforming the original variables into a new set of uncorrelated variables called principal components, PCA helps in identifying pattern

License GPL-3strong copyleft0 versions1 maintainers2 deps153 weekly dl
https://CRAN.R-project.org/package=RankPCA
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5/25
maintenance
3/20
popularity
25/25
security
6/15
maturity
2/15
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statscaret
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First published · 2024-06-07 15:50:00

Last updated · 2024-06-07T13:20:06+00:00