To build a nonlinear design, you must have an existing data table that contains the following columns: one for the response, one for each factor, and one containing a formula showing the relationship between the factors and the response. This formula must include the unknown parameters.
For information about formulas, see “Create Formulas in JMP” in Using JMP.
The table can contain values for the predictors and response. If it does, the design that you construct augments the design that is implicit in the table. There can be no row containing missing predictor values.
With your starting data table active, select DOE > Special Purpose > Nonlinear Design.
Figure 23.7 Nonlinear Launch Window
For more information about the options in the Select Columns red triangle menu, see “Column Filter Menu” in Using JMP.
Y, Response
The numeric column for response values.
X, Predictor Formula
The numeric column that contains the formula for the nonlinear model. This formula must contain parameters.
Weight
(Optional) A numeric column that assigns weights to the observations.
The nonlinear design updates as you work through the design steps.
• Factors
• Design