An affine invariant kk-nearest neighbor regression estimate

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