The MDS Procedure

The OUTRES= data set has one observation for each nonmissing data value. It contains the following variables:

• BY variables, if any

• _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

• RESIDUAL, FITDATA minus FITDIST

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).