LINEARR

Trainable mapping for linear regression

      Y = LINEARR(X,LAMBDA,N)
      Y = X*LINEARR([],LAMBDA,N)
      Y = X*LINEARR(LAMBDA,N)

Input
X	Dataset
LAMBDA	Regularisation parameter (default: no regularisation)
N	Order of polynomial (default: 1)

Output
Y	Linear (or higher order) regression

Description

Perform a linear regression on dataset X, with regularisation  parameter LAMBDA. When N is supplied, also higher order polynomials  are possible.

See also

ridger, testr, plotr, vandermondem,