PLS_Toolbox Documentation: plsdaroc	< plsda	plsdthres >

plsdaroc

Purpose

Calculate and display ROC curves for PLSDA model.

Synopsis

roc = plsdaroc(model,ycol,options)

Description

ROC curves can be used to assess the specificity and sensitivity possible with different predicted y-value thresholds for a PLSDA model. Inputs are a PLSDA model model, an optional index into the y-columns used in the model ycol [default = all columns], and an options structure. Output is a dataset with the sensitivity/specificity data roc.

Options

                  plots :     [ 'none' | {'final'}]    governs plotting on/off

See Also

discrimprob, plsda, plsdthres, simca