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

  • 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).