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Analyses/models where there is more than one response (dependent) variable. Commonly confused with "multiple" or "multivariable" analysis, which has more than one predictor (independent) variable.

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Non-Orthogonality in PCA?

i) PCA only looks for orthogonal components because it is computationally easiest. Linear algebra already had convenient computational solutions for finding orthogonal basis vectors (the eigenvalue pr …
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