This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English verison of the page.

Note: This page has been translated by MathWorks. Please click here
To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

Nonlinear Models

Nonlinear regression with multiple predictor variables


NonLinearModelNonlinear regression model class


fitnlmFit nonlinear regression model
dispDisplay nonlinear regression model
fevalEvaluate nonlinear regression model prediction
predictPredict response of nonlinear regression model
randomSimulate responses for nonlinear regression model
dummyvarCreate dummy variables
hougenHougen-Watson model
plotPartialDependenceCreate partial dependence plot (PDP) and individual conditional expectation (ICE) plots
statsetCreate statistics options structure
statgetAccess values in statistics options structure
nlinfitNonlinear regression
nlintoolInteractive nonlinear regression
nlparciNonlinear regression parameter confidence intervals
nlpredciNonlinear regression prediction confidence intervals

Examples and How To

Nonlinear Regression Workflow

Import data, fit a nonlinear regression, test its quality, modify it to improve the quality, and make predictions based on the model.

Pitfalls in Fitting Nonlinear Models by Transforming to Linearity

This example shows pitfalls that can occur when fitting a nonlinear model by transforming to linearity.


Nonlinear Regression

Parametric nonlinear models represent the relationship between a continuous response variable and one or more continuous predictor variables.

Was this topic helpful?