The MDS Procedure
OUTRES= Data Set
The OUTRES= data set has one observation for each nonmissing data value. It contains the following variables:
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BY variables, if any
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_ITER_(if the OUTITER option is specified), a numeric variable containing the iteration number -
_DIMENS_, a numeric variable containing the number of dimensions -
_MATRIX_or the variable in the MATRIX statement, identifying the data matrix or subject to which the observation pertains -
_ROW_, containing the variable label or value of the ID variable of the row to which the observation pertains -
_COL_, containing the variable label or value of the ID variable of the column to which the observation pertains -
DATA, the original data value -
TRANDATA, the optimally transformed data value when LEVEL=ORDINAL -
DISTANCE, the distance computed from the PROC MDS model -
TRANSDIST, the optimally transformed distance when the LEVEL= option is not ORDINAL or ABSOLUTE -
FITDATA, the data value further transformed according to the FIT= option -
FITDIST, the distance further transformed according to the FIT= option -
WEIGHT, the combined weight of the data value based on the WEIGHT variable(s), if any, and the standardization specified by the FORMULA= option
If you assign a nonmissing data value a weight of zero, PROC MDS will ignore it when the model is fit, but the value will still appear in the OUTRES= data set (see the section WEIGHT Statement).