Principal Components and Eigenvectors

Maximizing the sample variance after coordinate projection, subject to unit length, turns the first-order condition into an eigenvector equation — so the principal components are the top eigenvectors of the sample variance-covariance matrix, obtainable directly from the right singular matrix of the demeaned data.