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Modeling and Multivariate Methods - SAS

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Chapter 9 Performing Nonlinear Regression 245<br />

Example of Nonlinear Fitting<br />

Notice that the Inflection Point parameter for the test B formulation is significantly lower than the average<br />

inflection point. This agrees with what we noticed in the plots of the fitted models.<br />

Launch the Nonlinear Platform<br />

To launch the Nonlinear platform, select Analyze > <strong>Modeling</strong> > Nonlinear. The launch window is shown<br />

in Figure 9.4.<br />

Figure 9.4 Nonlinear Launch Window<br />

Begin fitting a nonlinear model in one of two ways:<br />

• Provide the Y <strong>and</strong> X variables <strong>and</strong> fit one of the built-in nonlinear models. This launches the Fit Curve<br />

personality of the Nonlinear platform. See “Nonlinear Fitting with Fit Curve” on page 246.<br />

• If you want to fit a model that is not in Fit Curve, you must first create a formula column that defines<br />

the model. This formula must include parameters to be estimated <strong>and</strong> the initial values of the<br />

parameters. Any nonlinear model can be fit using this method. For more information about this process,<br />

see “Fit a Custom Model” on page 256.<br />

You can also create the formula column using the Model Library. The Model Library creates the formula<br />

column <strong>and</strong> parameters, <strong>and</strong> helps you choose initial values, but only for models that are in Model<br />

Library. See “Use the Model Library” on page 264.

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