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Don't get bogged down in theoretical matters and computational techniques. Focus instead on practical aspects of data reduction and interpretation. Dealing with the "how-to-do-it" as well as the `"why-it-works," this paperback edition of a Wiley bestseller is designed for practitioners of principal component analysis. Among the topics explored are extension to p variables, scaling input data, inferential procedures, operations with group data, and vector interpretation.

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Principal component analysis is a multivariate technique in which a number of related variables are transformed to a set of uncorrelated variables. This paperback reprint of a Wiley bestseller is designed for practitioners of principal component analysis.

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