plotRidge

Two plots from Ridge regression are generated: The MSE resulting from
Generalized Cross Validation (GCV) versus the Ridge parameter lambda,
and the regression coefficients versus lambda. The optimal choice for
lambda is indicated.

 multivariate

R companion to the book "Introduction to Multivariate Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009).

Peter Filzmoser

chemometrics

Multivariate Statistical Analysis in Chemometrics

plotRidge function

<dl> <dt>formula</dt>
<dd>formula, like y~X, i.e., dependent~response variables</dd> <dt>data</dt>
<dd>data frame to be analyzed</dd> <dt>lambda</dt>
<dd>possible values for the Ridge parameter to evaluate</dd> <dt>...</dt>
<dd>additional plot arguments</dd></dl>

Arguments

Peter Filzmoser &lt;P.Filzmoser@tuwien.ac.at&gt;

Author

Plot results of Ridge regression — plotRidge

<dl>

 <dt>formula</dt>
<dd>formula, like y~X, i.e., dependent~response variables</dd>

 <dt>data</dt>
<dd>data frame to be analyzed</dd>

 <dt>lambda</dt>
<dd>possible values for the Ridge parameter to evaluate</dd>

 <dt>...</dt>
<dd>additional plot arguments</dd>

</dl>

plotRidge: Plot results of Ridge regression

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples