Robust locally weighted regression is a method of smoothing
2D scatterplot data (pairs of x-y data). A local polynomial regression model is fit to each point and the points close to it. The method is also sometimes referred to as LOWESS smoothing. The smoothed data usually provide a clearer picture of the overall shape of the relationship between the x and y variables. For more information, see also Cleveland (1979, 1985).