| Name | Description |
---|
  | LinearMultiDimFunc(Double, Double, FuncDouble, Double) |
Least-Squares fitting the points (X,y) = ((x0,x1,..,xk),y) to an arbitrary linear combination y : X -> p0*f0(x) + p1*f1(x) + ... + pk*fk(x),
returning a function y' for the best fitting combination.
|
  | LinearMultiDimFunc(Double, Double, DirectRegressionMethod, FuncDouble, Double) |
Least-Squares fitting the points (X,y) = ((x0,x1,..,xk),y) to an arbitrary linear combination y : X -> p0*f0(x) + p1*f1(x) + ... + pk*fk(x),
returning a function y' for the best fitting combination.
|