Plot of slices through fitted nonlinear regression surface
h = plotSlice(mdl)
a new figure containing a series of plots, each representing a slice
through the regression surface predicted by
For each plot, the surface slice is shown as a function of a single
predictor variable, with the other predictor variables held constant.
Nonlinear regression model, constructed by
Vector of handles to lines or patches in the plot.
Plot slices of a fitted nonlinear model.
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.
X1 prediction line to the right, and observe the change in the predicted response
y and in the predicted response curves to
If there are more than eight predictors,
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.