summary.cv.plsRmodel

This function provides a summary method for the class <code>"cv.plsRmodel"</code>

methods

print

Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria <arXiv:1810.01005>. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.

Frederic Bertrand

plsRglm

Partial Least Squares Regression for Generalized Linear Models

Myriam Maumy-Bertrand

summary.cv.plsRmodel function

<dl><dt>object</dt>
<dd>an object of the class <code>"cv.plsRmodel"</code></dd>
<dt>...</dt>
<dd>further arguments to be passed to or from methods.</dd></dl>

Arguments

Frédéric Bertrand 
<a href="/link/frederic.bertrand%40utt.fr?package=plsRglm&version=1.5.1" data-mini-rdoc="plsRglm::frederic.bertrand@utt.fr">frederic.bertrand@utt.fr</a> 
<a href="https://fbertran.github.io/homepage/">https://fbertran.github.io/homepage/</a>

Author

Summary method for plsR models — summary.cv.plsRmodel

<dl>

<dt>object</dt>
<dd>an object of the class <code>"cv.plsRmodel"</code></dd>


<dt>...</dt>
<dd>further arguments to be passed to or from methods.</dd>

</dl>

Frédéric Bertrand 
<a href='mailto:frederic.bertrand@utt.fr'>frederic.bertrand@utt.fr</a> 
<a href='https://fbertran.github.io/homepage/'>https://fbertran.github.io/homepage/</a>

summary.cv.plsRmodel: Summary method for plsR models

Description

Usage

Value

Arguments

Author

References

See Also

Examples