Principal component analysis (PCA) is a mathematical algorithm ... we begin by looking at the proportion of the variance present in all genes contained within each principal component (Fig.

A principal component analysis of a covariance matrix is equivalent to an analysis of a weighted correlation matrix, where the weight of each variable is equal to its variance. Variables with large ...

is a principal component analysis of multivariate regression predicted values. These first steps show the redundancy analysis results produced by PROC TRANSREG. The specification TSTANDARD=Z ...