Statistics and Machine Learning Toolbox (R2012a) includes an enhanced interface for regression analysis including fitting, prediction, and plotting while providing native support for dataset arrays and categorical data. These new capabilities speed up data analysis, eliminate the requirement to manually manipulate matrices, and produce more compact and readable MATLAB code. Product demonstrations feature applied examples of linear, nonlinear, and logistic regression including:

Product demonstrations feature applied examples of linear, nonlinear, and logistic regression including:

• Generating predictions
• Evaluating goodness-of-fit
• Plotting fits and residuals
• Detecting outliers and performing robust regression