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Statistical Model Analysis
Mathematica's symbolic architecture makes possible a uniquely convenient approach to working with statistical models. Starting from arbitrary data, Mathematica generates symbolic representations of fitted models, from which a full spectrum of results and diagnostics can immediately be extracted, visualized, or used in other computations.
LinearModelFit construct a linear regression model from data
NonlinearModelFit construct a nonlinear regression model
    
GeneralizedLinearModelFit generalized linear models, with general link functions
    
model["property"] extract properties, diagnostics, etc. from a model
model[x1,...] compute values of the best fit at a particular point
FittedModel symbolic representation of a model
    
Normal extract an expression for the best fit from a symbolic model
    
Detailed Control
DesignMatrix construct a design matrix from data
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