perClass Documentation
version 5.1 (11-May-2017)
 SDLMS  Least mean square classifier (regression on labels)

    P=SDLMS(DATA)
    P=SDLMS(DATA,options)

 INPUT
   DATA    training dataset

 OUTPUT
   P       linear discriminant

 DESCRIPTION
 SDLINEAR implements linear discriminant performing least mean square
 regression of class labels. SDLMS can be used to build regression model
 for arbitrary numerical targets with 'targets' option.
 If sample weights are available, 'weights' option may be used to use them
 in projection estimation.
 For classification, two or more classes are required. For regression,
 class information is not used.

 OPTIONS
 'target',T   Regress targets in numerical matrix T (rows are samples)
 'costs',C    Provide a vector of class costs (if regressing labels)
 'weights',W  Vector W with optional per-sample weights

 SEE ALSO
 SDFISHER, SDNMEAN, SDGAUSS