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Discovering Partial Least Squares with JMP®

Discovering Partial Least Squares with JMP

Partial Least Squares (PLS) is a flexible statistical technique that applies to data of any shape. It models relationships between inputs and outputs even when the inputs are correlated and noisy, there are multiple outputs, and there are more inputs than observations.

The sample chapter “Predicting Biological Activity,” from Discovering Partial Least Squares with JMP by Ian Cox and Marie Gaudard, shows how the activity of a compound can be predicted from its chemical properties using PLS. Watch the on-demand video to see how this analysis can be quickly and easily performed in JMP, and to get a feel for how JMP can support you in building useful statistical models with confidence.

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