Normalized sample principal component
= Normalized sample principal component
When $\Lambda_{ii}>0$, the normalized sample principal component $w_i=u_i/\sqrt{\Lambda_{ii}}$ has <Euclidean norm> one. The vectors $w_i$ form an <orthonormal set> spanning the <column space> of a full-column-rank centered design matrix.