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:
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
_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