A User's Guide to Principal Components

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.