Principal Component Analysis (PCA) using R
PCA means Principal Component Analysis. PCA is a multivariate technique that is used to reduce the dimension of a data set. More precisely, PCA is concerned with explaining the variance-covariance structure through a few linear combinations of the original variables. Thus PCA transforms the original set of variables into a smaller set of linear combinations … Read more