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variables to a new set of uncorrelated (orthogonal) variables. It
carries out the Gram-Schmidt process <strong>directly</strong> by
successively projecting each successive variable on the previous ones
and subtracting (taking residuals). This is equivalent by replacing each
successive variable by its residuals from a least squares regression on
the previous variables.</p>
<p>When this method is used on the predictors in a regressio