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The MDS Procedure |

The OUTRES= data set has one observation for each nonmissing datum. 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 datum
- TRANDATA, the optimally transformed datum 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 datum further transformed according to the FIT= option
- FITDIST, the distance further transformed according to the FIT= option
- WEIGHT, the combined weight of the datum based on the WEIGHT variable(s), if any, and the standardization specified by the FORMULA= option
- RESIDUAL, FITDATA minus FITDIST

To cause a datum to appear in the OUTRES= data set, yet be ignored in fitting the model, give the datum a nonmissing value but a 0 weight (see "WEIGHT Statement" ).

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