An affine invariant -nearest neighbor regression estimate

We design a data-dependent metric in R d and use it to define the k -nearest neighbors of a given point. Our metric is invariant under all affine transformations. We show that, with this metric, the standard k -nearest neighbor regression estimate is asymptotically consistent under the usual conditions on k , and minimal requirements on the input data.