What Is Parametric Regression?

  Choose a Regression Function

  Update Legacy Code to Use New Fitting Methods

  What Is a Linear Regression Model?

  Prepare Data

  Choose a Fitting Method

  Choose a Model or Range of Models

  Fit Model to Data

  Examine Quality and Adjust the Fitted Model

  Predict or Simulate Responses to New Data

  Share Fitted Models

  Linear Regression Workflow

  Stepwise Regression to Select Appropriate Models

  Compare large and small stepwise models

  What Is Robust Regression?

  Compare Robust Regression to a Standard Least-Squares Fit

  Introduction to Ridge Regression

  Example: Ridge Regression

  What Are Lasso and Elastic Net?

  Example: Lasso Regularization

  Example: Lasso and Elastic Net Regularization with Cross Validation

  Example: Wide Data via Lasso and Parallel Computing

  Lasso and Elastic Net Details

  References

  Introduction to Partial Least Squares

  Example: Partial Least Squares

  What Is Generalized Linear Regression?

  Prepare Data

  Choose a Generalized Linear Model Type and Link Function

  Choose a Fitting Method and Model or Range of Models

  Fit Model to Data

  Examine Quality and Adjust the Fitted Model

  Predict or Simulate Responses to New Data

  Share Fitted Models

  Generalized Linear Regression Workflow

  What Is Lasso Regularization of Generalized Linear Models?

  Regularize Poisson Regression

  Regularize Logistic Regression

  Regularize Wide Data in Parallel

  Details of Lasso and Elastic Net for Generalized Linear Models

  References

  What Are Parametric Nonlinear Regression Models?

  Prepare Data

  Represent the Nonlinear Model

  Choose Initial Vector beta0

  Fit Nonlinear Model to Data

  Examine Quality and Adjust the Fitted Model

  Predict or Simulate Responses to New Data

  Nonlinear Regression Workflow

  Introduction to Mixed-Effects Models

  Mixed-Effects Model Hierarchy

  Specifying Mixed-Effects Models

  Specifying Covariate Models

  Choosing nlmefit or nlmefitsa

  Using Output Functions with Mixed-Effects Models

  Example: Mixed-Effects Models Using nlmefit and nlmefitsa

  Example: Examining Residuals for Model Verification