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PRINCIPAL COMPONENTS ANALYSIS PCA

PRINCIPAL COMPONENTS ANALYSIS PCA

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Principal components are equivalent to major axis regressions. As such, principal components analysis is subject to the same restrictions as regression, in particular multivariate normality. The distributions of each variable should be checked for normality and transforms used where necessary to correct high degrees of skewness in particular.

  Component, Major

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