For fixed , differentiating under the constraint givesBecause the columns are orthogonal,The fitted value is therefore , where is the orthogonal projection onto the column space of .
The residual sum of squares is minimized by choosing this column space to be the span of the leading eigenvectors ofThus may be taken to have those orthonormal eigenvectors as columns. Their nonzero scales are immaterial because inverse scaling of the scores leaves unchanged.
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