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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<herd>sci</herd>
<longdescription>
Locally Weighted Projection Regression (LWPR) is a recent algorithm
that achieves nonlinear function approximation in high dimensional spaces
with redundant and irrelevant input dimensions. At its core, it uses
locally linear models, spanned by a small number of univariate regressions in
selected directions in input space. A locally weighted variant of
Partial Least Squares (PLS) is employed for doing the dimensionality
reduction.
</longdescription>
<use>
<flag name='octave'>Add <pkg>sci-mathematics/octave</pkg> support</flag>
</use>
</pkgmetadata>
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