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The adequacy and validity of the parametric model as an approximate representation of the measurement data curves can be checked via comparison to the nonparametric model results using the locally weighted regression (LOWESS), which is available in S-plus (2) and other statistical softwares (15), (16).
McMillen (1996) analysed locally weighted regression in modelling land prices in Chicago using two different data sets from 1836 to 1990.
For testing, 28 standard benchmark domains from publicly accessible repositories and 8 regression models were used (regression trees, linear regression, neural networks, bagging, support vector regression, locally weighted regression, random forests, generalized additive model).