perClass Documentation
version 5.1 (31-May-2017)
 SDLDA  Linear Discriminant Analysis (Fisher projection)

    P=SDLDA(DATA,options)

 INPUT
   DATA    labeled data set

 OUTPUT
   P       linear projection

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

 PARAMETERS
   'weights' relative input feature importance in the projection

 DESCRIPTION
 SDLDA implements linear discriminant analysis (also known as Fisher
 projection).

 READ MORE
http://perclass.com/doc/guide/dimensionality_reduction.html#sdlda

 SEE ALSO
 SDPCA

sdlda is referenced in examples: