To launch the Nonlinear platform, select Analyze > Modeling > Nonlinear. The launch window is shown in Nonlinear Platform Launch Window.
Select the Y variable.
Select either the X variable or a column containing the model formula with parameters.
Specify a grouping variable. The fitted model has separate parameters for each level of the grouping variable. This enables you to compare fitted models and estimated parameters across the levels of the grouping variable.
Launches the Model Library tool, which helps you choose initial values to create a formula column. See Create a Formula Using the Model Library.
Uses second derivatives as well as first derivatives in the iterative method to find a solution. With second derivatives, the method is called Newton-Raphson rather than Gauss-Newton. This method is useful only if the residuals are unusually large or if you specify a custom loss function and your model is not linear in its parameters. This option is used only when a formula column is provided in the X, Predictor Formula role.
Uses only numeric derivatives only. This option is useful when you have a model for which it is too messy to take analytic derivatives. It can also be valuable in obtaining convergence in tough cases. This option is used only when a formula column is provided in the X, Predictor Formula role.
Tells JMP that if an ingredient column to the model is a column that itself has a formula, to substitute the inner formula, as long as it refers to other columns. To prevent an ingredient column from expanding, use the Other column property with a name of “Expand Formula” and a value of 0. This option is used only when a formula column is provided in the X, Predictor Formula role.