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Multivariate Exploratory Data Analysis

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) when variables are categorical, Multiple Factor Analysis (MFA) when variables are structured in groups.

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1.0.0 2026-04-09 windows/windows R-4.5 booklet_1.0.0.zip 274.4 KiB

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