OUTFIT= Data Set
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 of length 8 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
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.