Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For weighted fitting, and estimated by least square method. It combines the traditional local polynomial fitting, locally weighted regression as well as strong robustness of the fitting proce

lwr
...\lwr.m
...\test_lwr_1D.m
...\test_lwr_2D.m

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