sformation technique used to explore patterns in data and highly correlated variables. It is useful for distilling variation into "components" across many variables onto a reduced feature space, such as a two or three-dimensional scatterplot. Axis loadings can then be extracted to see which variables contribute most to variation along each component.

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# Principal component analysis

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