Multivariate Adaptive Regression Splines

The MARS® modeling engine is ideal for users who prefer results in a form similar to traditional regression while capturing essential nonlinearities and interactions.

The MARS methodology’s approach to regression modeling effectively uncovers important data patterns and relationships that are difficult, if not impossible, for other regression methods to reveal. The MARS modeling engine builds its model by piecing together a series of straight lines with each allowed its own slope. This permits the MARS modeling engine to trace out any pattern detected in the data.

Graph of Minitab's multivariate adaptive regression spline.

High-Quality Regression and Classification

The MARS Model is designed to predict numeric outcomes such as the average monthly bill of a mobile phone customer or the amount that a shopper is expected to spend in a web site visit. The MARS engine is also capable of producing high quality classification models for a yes/no outcome. The MARS engine performs variable selection, variable transformation, interaction detection, and self-testing, all automatically and at high speed.

High-Performance Results

Areas where the MARS engine has exhibited very high-performance results include forecasting electricity demand for power generating companies, relating customer satisfaction scores to the engineering specifications of products, and presence/absence modeling in geographical information systems (GIS).

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Additional Advanced Methods

Whether you're just getting started or looking to take your predictive analytics capabilities to the next level, Minitab's modeling engines have the power you need.

Learn more about all of Minitab's predictive analytics solutions

Singular classification and regression tree with blue nodes.


The ultimate classification tree algorithm that revolutionized advanced analytics and inaugurated the current era of data science.

Group of five different colored classification and regression trees.

Random Forests®

The power to leverage multiple alternative analyses, randomization strategies, and ensemble learning in one convenient place.

Vertical line of three different colored classification and regression trees connected with downwards arrows.


The most flexible and powerful machine learning tool that is capable of consistently generating extremely accurate models.

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