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From the contents: - Introduction - Vector and Matrix Algebra - The Multivariate Normal Distribution, Multivariate Normality, and Covariance Structure - One- and Two-Sample Tests - Multivariate Analysis of Variance - Discriminant Analysis - Canonical Correlation - Principal Component Analysis - Factor Analysis - Structural Equations