Principal component analysis (PCA) is a mathematical algorithm that reduces the dimensionality of the data while retaining most of the variation in the data set 1. It accomplishes this reduction ...

SAS/INSIGHT software offers this criterion as an option for selecting the numbers of eigenvalues, eigenvectors, and principal components in the analysis. Principal components have a variety of useful ...