JMP 13 Multivariate Methods, Second Edition, 2nd Edition
By SAS Institute
Publisher: SAS Institute
Final Release Date: February 2017
Pages: 234

JMP 13 Multivariate Methods describes techniques for analyzing several variables simultaneously. The book covers descriptive measures, such as correlations. It also describes methods that give insight into the structure of the multivariate data, such as clustering, latent class analysis, principal components, discriminant analysis, and partial least squares.

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