The SAS/STAT post processing procedures enable you to perform hypothesis tests, compute confidence intervals, produce prediction plots, and score new data sets.
The SAS/STAT post processing procedures include the following:
The PLM procedure performs postfitting statistical analyses for the contents of a SAS item store that was previously created with the STORE statement in some other SAS/STAT procedure. An item store is a special SASdefined binary file format used to store and restore information with a hierarchical structure. The following are highlights of the PLM procedure's features:


The SCORE procedure multiplies values from two SAS data sets, one containing coefficients (for example, factorscoring coefficients or regression coefficients) and the other containing raw data to be scored by using the coefficients from the first data set. The result of this multiplication is a SAS data set that contains linear combinations of the coefficients and the raw data values. The following are highlights of the SCORE procedure's fetaures:

