The size of the local neighborhoods that PROC LOESS uses in performing local fitting is determined by the smoothing parameter value s. When s < 1, the local neighborhood used at a point contains the s fraction of the data points closest to the point . When , all data points are used.
Suppose q denotes the number of points in the local neighborhoods and denote the distances in increasing order of the q points closest to . The point at distance from is given a weight in the local regression that decreases as the distance from increases. PROC LOESS uses a tricube weight function to define

If , then is replaced by in the previous formula, where p is the number of predictors in the model.
Finally, note that if a weight variable has been specified using a WEIGHT statement, then is multiplied by the corresponding value of the specified weight variable.