a statistical method for reducing the dimensionality of a set of multivariate observations —note each principal component is a specific linear combination of the original variables such that all principal components are orthogonal and successive principal components account for a smaller proportion of the original variation —see orthogonality, nonorthogonal dataThis definition last updated 08/04/2008