Predictive and Specialized Modeling > Nonlinear Regression > Create a Formula Using the Model Library
Publication date: 03/23/2021

# Create a Formula Using the Model Library

The Model Library can assist you in creating the formula column with parameters and initial values. Click the Model Library button on the Nonlinear launch window to open the library. Select a model in the list to see its formula in the Formula box.

Figure 15.7 Nonlinear Model Library Dialog Click Show Graph to show a 2-D theoretical curve for one-parameter models and a 3-D surface plot for two-parameter models. No graph is available for models with more than two explanatory (X) variables. On the graph window, change the default initial values of parameters using the slider, or clicking and entering values in directly.

Figure 15.8 Example Graph in Model Library The Reset button sets the initial values of parameters back to their default values.

Click Show Points to overlay the actual data points to the plot. The dialog in Figure 15.9 opens, asking you to assign columns into X and Y roles, and an optional Group role. The Group role allows for fitting the model to every level of a categorical variable. If you specify a Group role here, also specify the Group column on the platform launch window.

Figure 15.9 Select Roles For most models, the starting values are constants. Showing points enables you to adjust the parameter values to see how well the model fits for different values of the parameters. For the US population example, the points are shown in Figure 15.10.

Figure 15.10 Show Points Clicking Make Formula at this point (after using Show Points) creates a new data table column named after the model that you chose from the Model Library. This column has the formula as a function of the latest parameter starting values.

Note: If you click Make Formula before using the Show Graph or Show Points buttons, you are asked to provide the X and Y roles, and an optional Group role (Figure 15.9). After that, you are brought back to the plot so that you have the opportunity to adjust the parameters starting values if desired. At that point click Make Formula again to create the new column.

Once the formula is created in the data table, continue the analysis by assigning the new column as the X, Predictor Formula in the Nonlinear launch dialog.

### Customize the Nonlinear Model Library

The Model Library is created by a built-in script named NonlinLib.jsl, located in the Resources/Builtins folder in the folder that contains JMP (Windows) or in the Application Package (macOS). You can customize the nonlinear library script by modifying this script.

To add a model, you must add three lines to the list named Listofmodellist#. These three lines are actually a list themselves, which consists of the following three parts.

Model name, a quoted string

Model formula, an expression

Model scale

For example, suppose you want to add a model called “Simple Exponential Growth” that has the form Add the following lines to the NonlinLib.jsl script

`{//Simple Exponential Growth`
`		"Simple Exponential Growth",`
`		Expr(Parameter({b1=2, k=0.5}, b1*exp(k * :X))),`
`		lowx = -1; highx = 2; lowy = 0;  highy = 2},`

Some things to note:

The first line is simply an open bracket (starting the list) and an optional comment. The second line is the string that is displayed in the model library window.

The values of lowx, highx, logy, and highy specify the initial window for the theoretical graph.

There is a comma as the last character in the example above. If this is the final entry in the Listofmodellist# list, the comma can be omitted.

If the model uses more than two parameters, replace the last line (containing the graph limits) with the quoted string “String Not Available”.

To delete a model, delete the corresponding three-lined list from the Listofmodellist# list.

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).