Best subset glm using information criteria or cross-validation,
carried by using 'leaps' algorithm (Furnival and Wilson, 1974) <doi:10.2307/1267601>
or complete enumeration (Morgan and Tatar, 1972) <doi:10.1080/00401706.1972.10488918>.
Implements PCR and PLS using AIC/BIC.
Implements one-standard deviation rule for use with the 'caret' package.

Best Subset GLM and Regression Utilities

package-ubuntu-20.04-r-4.0.5#cran#bestglm-0.37.3

A brief description of the best fit is given.

## S3 method for class 'pcreg'
print(x, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
 Output from the pcreg function 
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
 optional arguments 
</td>
</tr>
</table>

No value. Output to terminal only.

<code><a href="pcreg.html">pcreg</a></code>,
<code><a href="summary.pcreg.html">summary.pcreg</a></code>

package-ubuntu-20.04-r-4.0.5#cran#bestglm-0.37.3#docs#print.pcreg

print.pcreg

Description

Usage

Arguments

Value

Author(s)

See Also

Examples

bestglm

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