SAS/STAT Software

PRINCOMP Procedure

The PRINCOMP procedure performs principal component analysis. The following are highlights of the PRINCOMP procedure's features:

  • input can be in the form of raw data, a correlation matrix, a covariance matrix, or a sum-of-squares-and-crossproducts (SSCP) matrix
  • creates output data sets that contain eigenvalues, eigenvectors, and standardized or unstandardized principal component scores
  • automatically creates the scree plot, component pattern plot, component pattern profile plot, matrix plot of component scores, and component score plots by using ODS Graphics
  • performs BY group processing, which enables you to obtain separate analyses on grouped observations
  • performs weighted analysis
  • creates a SAS data set that corresponds to any output table

For further details see the PRINCOMP Procedure