carscomplete


  Data set with six variables measured on 24 cars (no missing values)


datasets

plsdepot contains different methods for PLS analysis of
one or two data tables such as Tucker's Inter-Battery, NIPALS,
SIMPLS, SIMPLS-CA, PLS Regression, and PLS Canonical Analysis.
The main reference for this software is the awesome book (in
French) 'La Regression PLS: Theorie et Pratique' by Michel
Tenenhaus.

Gaston Sanchez

plsdepot

Partial Least Squares (PLS) Data Analysis Methods

carscomplete function

A data frame with 6 variables measured on the 24 cars. <table><tr><td>
 Num </td>
<td> Variable	</td>
</tr><tr><td> Description		</td>
<td>
 1 </td>
</tr><tr><td> Cylindree 	</td>
<td> Engine		</td>
</tr><tr><td>
 2 </td>
<td> Puissance 	</td>
</tr><tr><td> Power 	</td>
<td>
 3 </td>
</tr><tr><td> Vitese 	</td>
<td> Speed		</td>
</tr><tr><td>
 4 </td>
<td> Poids	 	</td>
</tr><tr><td> Weight		</td>
<td>
 5 </td>
</tr><tr><td> Longueur 	</td>
<td> Length		</td>
</tr><tr><td>
 6 </td>
<td> Largeur	</td>
</tr><tr><td> Height		</td>
<td>
 Num </td>
</tr></table>

Format

Tenenhaus M. (1998) La Regression PLS: theorie et pratique. Table 4, page 67

carscomplete: carscomplete data set

Description

Usage

Arguments

Format

Source

Details

References

Examples

Num	Variable
Description	1
Cylindree	Engine
2	Puissance
Power	3
Vitese	Speed
4	Poids
Weight	5
Longueur	Length
6	Largeur
Height	Num