| | Name | Description |
|---|
  | DirectMethodT(IEnumerableTupleT, T, Boolean, DirectRegressionMethod) |
Find the model parameters β such that their linear combination with all predictor-arrays in X become as close to their response in Y as possible, with least squares residuals.
Uses the cholesky decomposition of the normal equations.
|
| DirectMethodT(MatrixT, MatrixT, DirectRegressionMethod) |
Find the model parameters β such that X*β with predictor X becomes as close to response Y as possible, with least squares residuals.
|
| DirectMethodT(MatrixT, VectorT, DirectRegressionMethod) |
Find the model parameters β such that X*β with predictor X becomes as close to response Y as possible, with least squares residuals.
|
| DirectMethodT(T, T, Boolean, DirectRegressionMethod) |
Find the model parameters β such that their linear combination with all predictor-arrays in X become as close to their response in Y as possible, with least squares residuals.
|
Overload List