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JMP 12 Fitting Linear Models by SAS Institute

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Chapter 2 
Model Specification
Specify Linear Models
Using the Fit Model platform, you can specify complex models efficiently. Your task is simplified by Macros, Attributes, and transformations. Fit Model is your gateway to fitting a broad variety of models and effect structures.
These include:
simple and multiple linear regression
analysis of variance and covariance
random effect, nested effect, mixed effect, repeated measures, and split plot models
nominal and ordinal logistic regression
multivariate analysis of variance (MANOVA)
canonical correlation and discriminant analysis
loglinear variance (to model the mean and the variance)
generalized linear models (GLM)
parametric survival and proportional hazards
response screening, ...

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