Least Squares Method Implementation Code

This code implements the least squares method by minimizing the sum of squared errors to find the optimal function fitting for data. The algorithm efficiently computes unknown parameters and ensures the minimal squared error between estimated values and actual observed data. Implementation typically involves matrix operations to solve normal equations or use gradient descent optimization techniques.