In the previous part of this book we found
the curse
of dimensionality to be one of the major problems that
arises when using nonparametric multivariate
regression techniques. For the practitioner, a further problem is
that for more than two regressors, graphical illustration or interpretation
of the results is hardly ever possible. Truly multivariate
regression models are often far too flexible and general for
making detailed inference.