carsmissing


  Data set with six variables measured on 24 cars


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

carsmissing function

A data frame with 6 variables measured on the 24 cars (contains missing values). <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 5, page 69

carsmissing: carsmissing 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