CorMat

A correlation matrix to simulate datasets

datasets

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

CorMat function

A data frame with 17 observations on the following 17 variables.<dl>
<dt>y</dt>
<dd>a numeric vector</dd>
 <dt>x11</dt>
<dd>a numeric
vector</dd>
 <dt>x12</dt>
<dd>a numeric vector</dd>
 <dt>x13</dt>
<dd>a numeric
vector</dd>
 <dt>x21</dt>
<dd>a numeric vector</dd>
 <dt>x22</dt>
<dd>a numeric
vector</dd>
 <dt>x31</dt>
<dd>a numeric vector</dd>
 <dt>x32</dt>
<dd>a numeric
vector</dd>
 <dt>x33</dt>
<dd>a numeric vector</dd>
 <dt>x34</dt>
<dd>a numeric
vector</dd>
 <dt>x41</dt>
<dd>a numeric vector</dd>
 <dt>x42</dt>
<dd>a numeric
vector</dd>
 <dt>x51</dt>
<dd>a numeric vector</dd>
 <dt>x61</dt>
<dd>a numeric
vector</dd>
 <dt>x62</dt>
<dd>a numeric vector</dd>
 <dt>x63</dt>
<dd>a numeric
vector</dd>
 <dt>x64</dt>
<dd>a numeric vector</dd>
 
</dl>

CorMat: Correlation matrix for simulating plsR datasets

Description

Arguments

Format

References

Examples