Plot of slices through fitted nonlinear regression surface
h = plotSlice(mdl)
plotSlice(mdl) creates a new figure containing a series of plots, each representing a slice through the regression surface predicted by mdl. For each plot, the surface slice is shown as a function of a single predictor variable, with the other predictor variables held constant.
If there are more than eight predictors, plotSlice selects the first five for plotting. Use the Predictors menu to control which predictors are plotted.
The Bounds menu lets you choose between simultaneous or non-simultaneous bounds, and between bounds on the function or bounds on a new observation.
Nonlinear regression model, constructed by fitnlm.
Plot slices of a fitted nonlinear model.
Load the reaction data and fit a model of the reaction rate as a function of reactants.
load reaction mdl = fitnlm(reactants,... rate,@hougen,[1 .05 .02 .1 2]);
Create a slice plot
Drag the X1 prediction line to the right, and observe the change in the predicted response y and in the predicted response curves to X2 and X3.