The MDS Procedure |

OUTRES= Data Set |

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

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).

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