In principal component analysis, the matrix whose columns are the chosen orthonormal eigenvectors of a covariance matrix, ordered by decreasing eigenvalues. Under this convention the principal component scores of centered data are . Some literature instead scales the vectors by square roots of eigenvalues; the convention should be stated explicitly.
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