FIT Statement
- FIT variable-list < = effects-list >
< / < FREQ=variable > < WEIGHT=variable >
< LABEL=variable > < NOINT >
< RESP=response > < BINOM=variable >
< OFFSET=variable > < LINK=link >
< POWER=value > < NOEXACT > < FISHER >
< QUASI > < SCALE=scale > < CONSTANT=value > >;
The FIT statement creates a fit analysis.
You must specify at least one Y variable.
You can follow the Y variables with an
equal sign (=) and a list of model effects,
including simple, crossed, and nested effects:
Y = X
Y = X1 * X2
Y = X( A B )
If you do not specify an effects list,
a model with only an intercept term (mean) is fit.
You can use the FREQ=, WEIGHT=, and LABEL= options to assign
Freq, Weight, and Label variables.
FIT statement options default to fit classical linear models,
but you can set them to fit the generalized linear model.
- NOINT
-
Use the NOINT option to fit a model without an intercept term.
- RESP=response
-
For response distribution, choose
NORMAL, INVGAUSS, GAMMA, POISSON, or BINOMIAL.
By default, RESP= is NORMAL.
- BINOM=variable
-
Use the BINOM= option to specify a Binomial variable
when RESP=Binomial. When RESP is not Binomial,
the BINOM= option is not used.
- OFFSET=variable
-
Use the OFFSET= option to specify an Offset variable.
- LINK=link
-
For link function, choose
CANONICAL, IDENTITY, LOG, LOGIT, PROBIT, CLOGCLOG, or POWER.
By default, LINK= is CANONICAL.
- POWER=value
-
Use the POWER= option to set a
value for the POWER link function.
If LINK= is not set to POWER, the POWER= option is not used.
- NOEXACT
-
Use the NOEXACT option to fit a linear model without
using exact distributions for the test statistics.
- FISHER
-
Use the FISHER option to use Fisher's scoring
method in the maximum-likelihood estimation
for the regression parameters.
- QUASI
-
If overdispersion is present in the model,
you can use the QUASI option
to fit the generalized linear model
using the quasi-likelihood functions.
To use the QUASI option, you must also set
the SCALE= option to a scale other than MLE.
- SCALE=scale
-
For scale, choose
MLE, DEVIANCE, PEARSON, or CONSTANT.
By default, SCALE= is MLE (maximum-likelihood estimate).
- CONSTANT=value
-
Use the CONSTANT= option to set a
constant value when SCALE=CONSTANT.
If SCALE= is not set to CONSTANT,
the CONSTANT= option is not used.
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.