SDLINEAR  linear discriminant assuming normal densities

    P=SDLINEAR(DATA,options)

 INPUT
   DATA    labeled dataset

 OUTPUT
   P       linear discriminant (Gaussian model per class, pooled
           covariance matrix)

 OPTIONS
   'prior' class priors (default: use priors from the training set)

 DESCRIPTION
 SDLINEAR implements linear discriminant assuming that all classes are
 Gaussian with the same covariance matrix.

 READ MORE
 http://perclass.com/doc/guide/classifiers.html#sdlinear

 SEE ALSO
 SDQUADRATIC, SDNMEAN, SDGAUSS

sdlinear is referenced in examples:

• kb6: Can ROC analysis be performed for multi-class problems?
• kb3: Perform leave-one-out evaluation