非线性模型

具有多个预测变量的非线性回归

类

NonLinearModel Nonlinear regression model class

`fitnlm`	Fit nonlinear regression model
`disp`	Display nonlinear regression model
`feval`	Evaluate nonlinear regression model prediction
`predict`	Predict response of nonlinear regression model
`random`	Simulate responses for nonlinear regression model

`dummyvar`	Create dummy variables
`hougen`	Hougen-Watson 模型
`partialDependence`	Compute partial dependence
`plotPartialDependence`	Create partial dependence plot (PDP) and individual conditional expectation (ICE) plots
`statset`	Create statistics options structure
`statget`	Access values in statistics options structure

`nlinfit`	非线性回归
`nlintool`	Interactive nonlinear regression
`nlparci`	Nonlinear regression parameter confidence intervals
`nlpredci`	Nonlinear regression prediction confidence intervals

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.
加权非线性回归
此示例说明如何将非线性回归模型与具有非常量误差方差的数据进行拟合。
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 Logistic Regression
This example shows two ways of fitting a nonlinear logistic regression model.

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