What is the function of L-Square?

L-Square, often referred to as Least Squares, is a mathematical method used to minimize the sum of the squares of the differences between observed and predicted values in statistical modeling. It is commonly applied in regression analysis to find the best-fitting line or curve for a given set of data points. By minimizing these differences, L-Square helps in estimating the parameters of the model, thereby improving the accuracy of predictions.