Cornell

The famous Cornell dataset. A mixture experiment on <code>X1</code>, <code>X2</code>,
<code>X3</code>, <code>X4</code>, <code>X5</code>, <code>X6</code> and <code>X7</code> to analyse octane
degree (<code>Y</code>) in gazoline.

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

Cornell function

A data frame with 12 observations on the following 8 variables.<dl>
<dt>X1</dt>
<dd>a numeric vector</dd>
 <dt>X2</dt>
<dd>a numeric
vector</dd>
 <dt>X3</dt>
<dd>a numeric vector</dd>
 <dt>X4</dt>
<dd>a numeric
vector</dd>
 <dt>X5</dt>
<dd>a numeric vector</dd>
 <dt>X6</dt>
<dd>a numeric
vector</dd>
 <dt>X7</dt>
<dd>a numeric vector</dd>
 <dt>Y</dt>
<dd>response value:
a numeric vector</dd>
 
</dl>

Cornell: Cornell dataset

Description

Arguments

Format

References

Examples