The MDS Procedure
The OUTFIT= data set contains various measures of goodness and badness of fit. There is one observation for the entire sample plus one observation for each matrix. For the CONDITION=ROW option, there is also one observation for each row.
The OUTFIT= data set 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 -
_LABEL_or the variable in the ID statement, containing the variable label or value of the ID variable of the object to which the observation pertains when CONDITION=ROW -
_NAME_, a character variable containing the variable name of the object or dimension to which the observation pertains when CONDITION=ROW -
N, the number of nonmissing data -
WEIGHT, the weight of the partition -
CRITER, the badness-of-fit criterion -
DISCORR, the correlation between the transformed data and the distances for LEVEL=ORDINAL or the correlation between the data and the transformed distances otherwise -
UDISCORR, the correlation uncorrected for the mean between the transformed data and the distances for LEVEL=ORDINAL or the correlation between the data and the transformed distances otherwise -
FITCORR, the correlation between the fit-transformed data and the fit-transformed distances -
UFITCORR, the correlation uncorrected for the mean between the fit-transformed data and the fit-transformed distances