Principal Component Analysis (PCA)

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PCA, is a way to create an index from a group of variables that are similar in the information that they provide. This allows maximizing the information we keep, without using variables that will cause multicolinearity, and without having to choose one variables among many.

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This article is part of the topic Data Analysis

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