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SAS/INSIGHT Statements

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.

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