Multivariate analysis. Topics selected from factor analysis; canonical correlation analysis; classification and discrimination; clustering; and data mining. Emphasis on application rather than theory. R/SAS computation.
Prerequisites: PSTAT 220A and Mathematics 108B or equivalents.