The OUTPUT statement creates a new SAS data set that contains all the variables in the input data set and, optionally, the
estimates of , the expected value of the response variable, and the probability of the response variable taking on the current value or
other values that you specify. In a zeroinflated model, you can additionally request that the output data set contain the
estimates of and the probability that the response is zero as a result of the zerogenerating process. For the ConwayMaxwellPoisson
model, the estimates of , , , , mode, variance, and dispersion are also available. Except for the probability of the current value, these statistics can
be computed for all observations in which the regressors are not missing, even if the response is missing. By adding observations
that have missing response values to the input data set, you can compute these statistics for new observations or for settings
of the regressors that are not present in the data without affecting the model fit.
You can specify only one OUTPUT statement. You can specify the following outputoptions:

OUT=SASdataset

names the output data set.

XBETA=name

names the variable that contains estimates of .

PRED=name
MEAN=name

assigns a name to the variable that contains the predicted value of the response variable.

PROB=name

names the variable that contains the probability of the response variable taking the current value, Pr().

PROBCOUNT(value1 <value2...>)

outputs the probability that the response variable will take particular values. Each value should be a nonnegative integer.
Nonintegers are rounded to the nearest integer. The value can also be a list of the form X TO Y BY Z. For example, PROBCOUNT(0 1 2 TO 10 BY 2 15) requests predicted probabilities
for counts 0, 1, 2, 4, 5, 6, 8, 10, and 15. This option is not available for the fixedeffects and randomeffects panel models.

ZGAMMA=name

names the variable that contains estimates of .

PROBZERO=name

names the variable that contains the value of , the probability of the response variable taking on the value of zero as a result of the zerogenerating process. It is written
to the output file only if the model is zeroinflated. This is not the overall probability of a zero response; that is provided
by the PROBCOUNT(0) option.

GDELTA=name

assigns a name to the variable that contains estimates of for the ConwayMaxwellPoisson distribution.

LAMBDA=name

assigns a name to the variable that contains the estimate of for the ConwayMaxwellPoisson distribution.

NU=name

assigns a name to the variable that contains the estimate of for the ConwayMaxwellPoisson distribution.

MU=name

assigns a name to the variable that contains the estimate of for the ConwayMaxwellPoisson distribution.

MODE=name

assigns a name to the variable that contains the integral part of (mode) for the ConwayMaxwellPoisson distribution.

VARIANCE=name

assigns a name to the variable that contains the estimate of variance for the ConwayMaxwellPoisson distribution.

DISPERSION=name

assigns a name to the variable that contains the value of dispersion for the ConwayMaxwellPoisson distribution.