Cooksd
Jump to navigation
Jump to search
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.