linnerud


  Thris data set contains three physiological and three exercise variables measured on 20 men


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

linnerud function

A data frame with 20 observations on the following 6 variables. <table><tr><td>
    <em>Num</em> </td>
<td> <em>Variable</em>	</td>
</tr><tr><td> <em>Description</em>		</td>
<td>
    1   </td>
</tr><tr><td> Weight </td>
<td> Weight		</td>
</tr><tr><td>
    2   </td>
<td> Waist 	</td>
</tr><tr><td> Waist size </td>
<td>
    3   </td>
</tr><tr><td> Pulse 	</td>
<td> Pulse		</td>
</tr><tr><td>
    4   </td>
<td> Pulls	</td>
</tr><tr><td> Pull-ups	</td>
<td>
    5   </td>
</tr><tr><td> Squats </td>
<td> Squats		</td>
</tr><tr><td>
    6   </td>
<td> Jumps	</td>
</tr><tr><td> Jumps		</td>
<td>
    <em>Num</em> </td>
</tr></table>

linnerud: Linnerud data set

Description

Usage

Arguments

Format

Source

References

Examples

Num	Variable
Description	1
Weight	Weight
2	Waist
Waist size	3
Pulse	Pulse
4	Pulls
Pull-ups	5
Squats	Squats
6	Jumps
Jumps	Num