Calculates the parameters for the regression using a singular value decomposition of the regression matrix to solve the least squares problem.

Creates a deep copy of this regression calculator 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.

Checks for soln_ to be null, instantiates if so

Computes the solution to the least squares problem Ax = b.

Returns a String that represents the current Object.

Gets the number of columns in the matrix.

Gets the status of the singular value decomposition.

Returns true if the singular value decomposition may be used to solve least squares problems; otherwise false.

Gets the numerical rank of the matrix.

Returns the rank if it was calculated as a byproduct of the parameter calculation.

Gets the number of rows in the matrix.

Gets and sets the tolerance for computing the numerical rank. All singular values less than tolerance are set to zero.

Gets the matrix formed by taking the inverse of the product of the transpose of the regression matrix with itself, if available.

Gets a boolean indicating whether or not the matrix formed by taking the inverse of the product of the transpose of the regression matrix with itself is avaialble as part of the decomposition.