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We present a framework for high-dimensional regression using the GMRA data structure. In analogy to a classical wavelet decomposition of function spaces, a GMRA is a tree-based decomposition of a data set into local linear projections. Moreover, for new points, GMRA admits a fast algorithm for computing the projection coefficients on the already-learned dictionary....