For each principle component, the variances should be a linear combination of the variance of the variables that contracted this principle component.
2
Utilisateur anonyme
19 mars 2019
Mathematically, Principal components are a linear combination of eigenvectors and all observations. So in some sense, by multiplying eigenvectors with observations of predictors we implicitly capture the variance.