Cooksd: Difference between revisions
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====Outputs==== | ====Outputs==== | ||
* '''distances''' an m-by-1 vector of the calculated Cooks distances for each sample. | * '''distances''' = an m-by-1 vector of the calculated Cooks distances for each sample. | ||
===See Also=== | ===See Also=== | ||
[[plotscores]], [[leverag]], [[figmerit]], [[pls]] | [[plotscores]], [[leverag]], [[figmerit]], [[pls]] | ||
Revision as of 12:02, 15 August 2017
Purpose
Calculates Cooks Distance of samples for a regression model.
Synopsis
- distances = plotscores(model)
Description
Cooks distance measures how much the model would change if a given sample is left out.
- Distance > 0.5: ith sample may be influential and may be worthy of further investigation.
- Distance > 1: ith sample is quite likely to be influential.
Inputs
- model = a standard model structure.
(Note: Currently only PLS models are supported.)
Outputs
- distances = an m-by-1 vector of the calculated Cooks distances for each sample.