Ordinary Least Squares Regression:
Ordinary least squares regression is a special (and the most common) kind of ordinary linear regression . It is based on the least squares method of finding regression parameters.
Technically, the aim of ordinary least squares regression is to find out those values [^a] and [^b] of parameters a ("intercept") and b ("slope") in the simple linear regression model

that minimize the sum of squares of residuals:

See also: multiple least squares regression