SDSCALE Train scaling mapping from data

    P=SDSCALE(DATA,METHOD)

 INPUT
   DATA       Data set
   METHOD     Scaling method (default: 'standardization')

 OUTPUT
   P          Scaling pipeline

 DESCRIPTION
 SDSCALE trains a scaling pipeline.
 Scaling methods:
  'standardization' - shift data to zero mean and scale to unit variance
                      (default, synonym: 'variance')
  'centering' - mean centering shifting data to zero mean
  'range' - scale data into 0-1 interval using min and max data values
  'robust' - scale the bulk of data into 0-1 range using lower and
             upper percentiles. This is robust to outliers. Percentile
             may be set with an additional parameter (default: 0.05)

sdscale is referenced in examples:

• kb19: PRTools compatibility