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<?xml version='1.0' encoding='UTF-8'?>
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
<maintainer type="project">
<email>sci-mathematics@gentoo.org</email>
<name>Gentoo Mathematics Project</name>
</maintainer>
<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>
<upstream>
<remote-id type="sourceforge">lwpr</remote-id>
</upstream>
</pkgmetadata>
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