The article discusses different methods for estimating least squares, focusing on classes B and C. The researchers found conditions for these methods to converge locally and conditions for Q-superlinear convergence. They also created composite methods by combining class A with class B or C methods. Numerical results for these methods were tested on eleven problems, showing their effectiveness.