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 |