mloss.org Penalized Partial Least Squares Regressionhttp://mloss.orgUpdates and additions to Penalized Partial Least Squares RegressionenSat, 13 Jun 2009 18:53:34 -0000Penalized Partial Least Squares Regression 1.03http://mloss.org/software/view/9/<html><p>This package contains functions to estimate linear and nonlinear regression methods with Penalized Partial Least Squares. Partial Leasts Squares (PLS) is a regression method that constructs latent components Xw from the data X with maximal covariance to a response y. The components are then used in a least-squares fit instead of X. For a quadratic penalty term on w, Penalized Partial Least Squares constructs latent components that maximize the penalized covariance. Applications include the estimation of generalized additive models and functional data.
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<p>Features of the package include
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<ul>
<li>
estimation of linear regression models with penalized PLS,
</li>
<li>
estimation of generalized additive models with penalized PLS based on splines transformations,
</li>
<li>
model selection for both methods based on cross validation.
</li>
</ul>
<p>The package also contains a data set from Near-Infrared Spectroscopy.
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<p>For more information on penalized PLS:
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<p>N. KrĂ¤mer, A.-L. Boulsteix, and G. Tutz (2008). Penalized Partial Least Squares with Applications to B-Spline Transformations and Functional Data. Chemometrics and Intelligent Laboratory
Systems, 94, 60 - 69.
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<p>Please send an email to nkraemer at cs dot tu-berlin dot de for any
comments, suggestions, or reports on bugs.
</p>
<p>If you want to cite this package, please use the following bib-tex entry.
</p>
<p>@Manual{KraBou09,
</p>
<pre><code>title = {ppls: Penalized Partial Least Squares},
author = {Nicole Kraemer and Anne-Laure Boulesteix},
year = {2009},
note = {R package version 1.03},
</code></pre><p> }
</p></html>Nicole Kraemer, Anne Laure BoulesteixTue, 05 May 2009 19:53:20 -0000http://mloss.org/software/rss/comments/9http://mloss.org/software/view/9/kernelregressionpartial least squares<b>Comment by JaneRadriges on 2009-06-13 18:53</b>http://mloss.org/comments/cr/14/9/#c372<p>Hi, gr8 post thanks for posting. Information is useful!
</p>JaneRadrigesSat, 13 Jun 2009 18:53:34 -0000http://mloss.org/comments/cr/14/9/#c372