Local regression or local polynomial regression, also known as moving regression, is a general statement of the moving average and polynomial regression.
It is used for scatterplot smoothing. They are also known as LOESS (locally estimated scatterplot smoothing) and LOWESS (locally weighted scatterplot smoothing), both pronounced /ˈloʊɛs/ LOH-ess in this care. They are two strongly related non-parametric regression methods.
In some fields, LOESS is known and commonly known as Savitzky–Golay filter.
