Given a set of reference data and parameters, CHKPAR constructs the parameter Hessian, diagonalizes it, and prints the associated eigenvalues and eigenvectors.
If an eigenvalue is very zero or very small, then the parameters are not independent, and the minimum in parameter space is ill-defined. CHKPAR is thus a tool for detecting this condition.