9.1 Principal Components

Principal component analysis PRINC

Common principal components for several covariance matrices KPRIN

9.2 Factor Analysis

9.2.1 Factor Extraction

Unrotated factor estimates FACTR

9.2.2 Factor Rotation and Summarization

Orthomax rotations FROTA

Procrustes rotation FOPCS

Direct oblimin rotation FDOBL

Promax or Procrustes rotation FPRMX

Harris-Kaiser rotation FHARR

Generalized Crawford-Ferguson rotation FGCRF

Image analysis FIMAG

Factor variances FRVAR

9.2.3 Factor Scores

Factor score coefficients FCOEF

Factor scores FSCOR

9.2.4 Residual Correlation

The residual correlation matrix FRESI

9.3 Independence of Sets of Variables and Canonical Correlation Analysis

Test of independence of several sets of variates MVIND

Canonical correlation analysis from raw data CANCR

Canonical correlation analysis from covariance matrix CANVC