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Factor analysis (FA) explores the underlying factors (latent variables) among a large
number of interrelated variables.
Factor analysis is related to principal component analysis (PCA), but the two are not identical and have different purposes. FA makes the assumption that an underlying model exists, whereas PCA is a descriptive variable reduction technique.