The OUTHISTORY= data set contains all the variables in the input data set plus new variables that contain the principal component scores, residuals, and other computed values listed in Table 13.7.
Table 13.7: Computed Variables in the OUT= Data Set
Variable 
Description 

Prin1–Prinj 
Principal component scores 
R_–R_ 
Residuals 
_NOBS_ 
Number of observations used in the analysis 
_SPE_ 
Squared prediction error (SPE) 
_TSQUARE_ 
statistic computed from principal component scores 
The names of the score variables are formed by concatenating the value given by the PREFIX= option (or the default Prin
, if PREFIX= is not specified) and the numbers 1, 2, …, j, where j is the number of principal components in the model.
The names of the residual variables are formed by concatenating the value given by the RPREFIX= option (or the default R_
, if RPREFIX= is not specified) and the names of the process variables used in the analysis. Residual variables are created
only when the number of principal components in the model is less than the number of process measurement variables in the
input data set.
You can save multivariate control chart statistics, control limits, and related information by specifying the OUTTABLE= option in an SPECHART or TSQUARECHART statement. An OUTTABLE= data set contains the variables listed in Table 13.8.
Table 13.8: Variables in an OUTTABLE= Data Set
Variable 
Description 


Probability () of exceeding control limits 

Flag to indicate control limit was exceeded 

Lower control limit 

Center line 

Squared prediction error (SPE) statistic (SPECHART statement only) 
time 
TIME variable, if specified 

statistic (TSQUARECHART statement only) 

Upper control limit 