prtClassPlsda  Partial least squares discriminant classifier
 
     CLASSIFIER = prtClassPlsda returns a Partial least squares
     discriminant classifier
 
     CLASSIFIER = prtClassPlsda(PROPERTY1, VALUE1, ...) constructs a
     prtClassMAP object CLASSIFIER with properties as specified by
     PROPERTY/VALUE pairs.
 
     A prtClassPlsda object inherits all properties from the abstract
     class prtClass. In addition is has the following properties:
 
     nComponents  -  The number of components
     Bpls         -  The regression weights, estimated during training
     xMeans       -  The xMeans, estimated during training
     yMeans       -  The yMeana, estimated during training   
 
     For information on the partial least squares discriminant
     algorithm, please refer to the following URL:
 
     http://en.wikipedia.org/wiki/Partial_least_squares_regression
 
     A prtClassPlsda object inherits the TRAIN, RUN, CROSSVALIDATE and
     KFOLDS methods from prtAction. It also inherits the PLOT method
     from prtClass.
 
     Example:
 
    TestDataSet = prtDataGenUnimodal;      % Create some test and 
    TrainingDataSet = prtDataGenUnimodal;  % training data
    classifier = prtClassPlsda;           % Create a classifier
    classifier = classifier.train(TrainingDataSet);    % Train
    classified = run(classifier, TestDataSet);         % Test
    subplot(2,1,1);
    classifier.plot;
    subplot(2,1,2);
    [pf,pd] = prtScoreRoc(classified,TestDataSet);
    h = plot(pf,pd,'linewidth',3);
    title('ROC'); xlabel('Pf'); ylabel('Pd');