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Factor Analysis

In an attempt to model the same data, factor analysis finds new component in that model. It helps in assignment finding new variables to represent the ones given such that there are less of them. Principal component analysis (PCA) is one of the methods; whose components are based on the Eigen values in the covariance and correlation matrices.

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