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OCR: Principal components a technigue to take linear combination of the original variables such that the first principal component has maximum variation, the second principal component has the next most variation subject to being orthogonal to the first, and so on. Principal components analysis is also implemented on the Spinning Plot platform, which is the preferable approach unless you have too many variables to show graphically. Each principal component is calculated by taking a linear combination of an eigenvector of the correlation matrix with standardized original variable. The eigenvalues show the variance of each component. The set of n principal components has the san total variation and structure as the original variables. The principal components text report summarizes the variation ...