Creates a deep copy of this instance.

Determines whether the specified Object is equal to the current Object.

Serves as a hash function for a particular type.

Gets the Type of the current instance.

Default convergence function for IRLS. Can be made into a ToleranceMet delegate.

Returns a String that represents the current Object.

The default maximum number of iterations to be performed before the algorithm terminated shared by all instances of DoubleIterativelyReweightedLeastSq. Instance where maximum iterations is not explicitly set by the user will use this value.

The default tolerance used to determine convergence of the algorithm shared by all instances of DoubleIterativelyReweightedLeastSq. Instance where the tolerance is not explicitly set by the user will use this value.

Gets the add intercept option. If AddIntercept is true then a column of ones was prepended to the input matrix, representing a constant term in the model.

Gets and sets the delegate function used to determine convergence. The delegate should return true when the tolerance is met.

Gets and sets the default maximum number of iterations.

Gets and sets the default error tolerance.

Gets the number of iterations performed in the most recent computation.

Gest and set the maximum number of iterations. The algorithm will be terminated when it converges or the maximum number of iterations has been reached, which ever comes first.

Returns true if the minimum just computed stopped because the maximum number of iterations was reached; otherwise, false.

Gets the residual vector from the most recent computation.

Gets and sets the tolerance. The tolerance is given to the ToleranceMet function. If using the default ToleranceMet function, the tolerance should be a relative one since the difference between successive solutions will be a relative one, that is the difference will be divided by the larger of the two solutions producing a value between 0 and 1.

Returns true if the minimum just computed stopped because the error tolerance was reached; otherwise, false.

Gets the weights used in the final iteration of the most recent computation.

Gets and sets the weight function.