LOESS and
LOWESS (
locally weighted scatterplot smoothing) are two strongly related
non-parametric regression methods that combine multiple regression models in a
k-nearest-neighbor-based meta-model. "LOESS" is a later generalization of LOWESS; although it is not a true
initialism, it may be understood as standing for "LOcal regrESSion".