Import Regression Models
Regression models describe the relationship between a response (output) variable, and one or more predictor (input) variables. Statistics and Machine Learning Toolbox™ allows you to fit linear, generalized linear, and nonlinear regression models, including stepwise models and mixed-effects models. Once you fit a model, you can use it to predict or simulate responses, assess the model fit using hypothesis tests, or use plots to visualize diagnostics, residuals, and interaction effects.
You can use CAGE to import and optimize Statistics and Machine Learning Toolbox regression models.
Use the Statistics and Machine Learning Toolbox to create a regression model.
Use the Regression Learner App to export the regression model to the workspace.
In CAGE, select File > Import > Regression Model.
In the Import dialog box, click OK to import the regression model.
In the Import Models dialog box, accept the defaults and click OK.
Use CAGE to optimize the regression model.
