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Built-in Mathematica Symbol

LinearOffsetFunction

LinearOffsetFunction
is an option for linear and generalized linear model fitting functions which specifies a component for the model that is to be assumed known.

MORE INFORMATION

LinearOffsetFunction is an option for LinearModelFit, GeneralizedLinearModelFit, LogitModelFit, and ProbitModelFit.

LinearOffsetFunction->func specifies that the model to be fitted should have a linear predictor of the form func[x₁, x₂, ...]+₀+₁ f₁+₂ f₂+.

LinearOffsetFunction defines a known component of the linear predictor for each data point.

EXAMPLES

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Basic Examples (1)

Fit data to a linear model:

Fit data to a linear model with a known Exp[x] term:

Fit data to a linear model:

In[1]:=

In[2]:=

Out[2]=

Fit data to a linear model with a known Exp[x] term:

In[3]:=

Out[3]=

Scope (3)

Fit data to a generalized linear model:

Fit to a model with a known Sqrt[x] term in the linear predictor:

Fit to a model with a known constant term:

Include a linear offset in a logit model:

A probit model:

Include an offset as a function of multiple variables:

The model fitting a coefficient to the x y term: