Returns a vector of adjusted residuals for the weighted least squares problem: Ax = b.

Creates a deep copy of this weighting.

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.

Computes weights from residuals.

Performs intialization of the weighting function based on the matrix A in the weighted least squares problem: Ax - b.

Returns the Mean Absolute Deviation of a vector of values. The mean absolute deviation is an estimate of the standard deviation of the vector of residuals normalized to make the estimate unbiased for the normal distribution.

Returns a String that represents the current Object.