Fit Analyses |

*Generalized linear models* assume that the response *y*_{i} has a distribution from the exponential family (normal, inverse Gaussian, gamma, Poisson, binomial) and a function can be used to link the expected response mean and a linear function of the X effects. In SAS/INSIGHT software, a generalized linear model is written as

The monotone function *g* links the response mean with a linear predictor from the effects, and it is called the *link function*. The *n*×1 vector is the offset, **X** is the *n*×*p* design matrix, and is the *p*×1 vector of unknown parameters. The design matrix is generated the same way as for linear models.

You specify the response distribution, the link function, and the offset variable in the fit method options dialog.

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