Principal component analysis in r

library(FactoMineR)
library(factoextra)
res.pca = FactoMineR::PCA(X, scale.unit = TRUE, ncp = 5, graph = TRUE)
factoextra::fviz_eig(res.pca, addlabels = TRUE, ylim = c(0, 50))

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