Tools to interpret the results obtained by principal component methods (PCA, MCA, MFA)

François Husson · 23K views · 2013 · 7:06

Open on YouTube

Data science & statisticsother

Why the open web links it

Explains how to interpret dimensions from PCA, MCA, and MFA using the dimdesc function in R.

Linked by 2 independent sites, 2 of them widely read in the 2026-10 crawl of the open web, including ethz.ch, uchile.cl, ac.in.