cornell0

<p>Motor octane number measurements in different mixtures.</p>

datasets

Sensitivity indices with dependent correlated inputs, using a
method based on PLS regression.

ORPHANED

sivipm

Sensitivity Indices with Dependent Inputs

cornell0 function

<p>A data frame with 12 observations on the following 8 variables.
All are numeric.</p><table><tr><td>
    [,1] </td>
<td> Distillation  </td>
<td> Direct distillation</td>
</tr><tr><td>
    [,2]  </td>
<td> Reformat  </td>
<td> Reformat </td>
</tr><tr><td>
        [,3]  </td>
<td> NaphthaT  </td>
<td>    Naphtha thermal cracked
	</td>
</tr><tr><td>
        [,4]  </td>
<td> NaphthaC   </td>
<td> Naphtha catalytic
	cracked</td>
</tr><tr><td>
	 [,5] </td>
<td> Polymer   </td>
<td>
	 Polymer</td>
</tr><tr><td>
	 [,6] </td>
<td> Alkylat  </td>
<td>
	 Alkylat</td>
</tr><tr><td>
	 [, 7] </td>
<td> Gasoline   </td>
<td> 
	 Natural gasoline</td>
</tr><tr><td>
	 [, 8]  </td>
<td> Y   </td>
<td> 
     Octane number</td>
</tr></table>

cornell0: Motor Octane Number Measurements

Description

Usage

Arguments

Format

References

[,1]	Distillation	Direct distillation
[,2]	Reformat	Reformat
[,3]	NaphthaT	Naphtha thermal cracked
[,4]	NaphthaC	Naphtha catalytic cracked
[,5]	Polymer	Polymer
[,6]	Alkylat	Alkylat
[, 7]	Gasoline	Natural gasoline
[, 8]	Y	Octane number