Back مربعات صغرى عادية Arabic Mínimos cuadraos ordinarios AST Mètode dels mínims quadrats ordinaris Catalan Ordinary least squares English Mínimos cuadrados ordinarios Spanish کمترین مربعات معمولی Persian Méthode des moindres carrés ordinaire French 정규방정식 Korean 普通最小二乘法 Chinese 普通最小二乘法 ZH-YUE
Ordinary least squares or linear least squares is a method for estimating unknown parameters in statistics. It is a method used in linear regression. The goal of the method is to minimize the difference between the observed responses and the responses predicted by the linear approximation of the data. A smaller difference means that model fits the data better. Ordinary least squares is a special case of a method commonly called least squares. The resulting estimator can be expressed by a simple formula.