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The LOGISTIC Procedure |
In addition, if you use the single-trial syntax and the
statistics you requested include XBETA=, STDXBETA=, PREDICTED=,
LCL=, and UCL= options, the
OUT= data set contains the variable _LEVEL_ ; and for
a model with k+1 response categories , each
input observation generates k observations with k
different values of _LEVEL_ . When there are more
than two response levels (i.e., k>1), only variables named by the
XBETA=, STDXBETA=, PREDICTED=, LOWER=, and UPPER= options,
and the variables given by PREDPROBS=(INDIVIDUAL CUMULATIVE)
have their values computed; the other variables have missing
values.
For observations in which only the response variable is missing, values of the XBETA=, STDXBETA=, PREDICTED=, UPPER=, LOWER=, and the PREDPROBS= options are computed even though these observations do not affect the model fit. This allows, for instance, predicted probabilities to be computed for new observations.
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