bread

<p>Evaluation of ten bread with respect to eleven attributes
by eight judges (Xbread). The outcome is the salt content
of each bread (Ybread).</p>

datasets

Tools for performing variable selection in three-way data using N-PLS
in combination with L1 penalization, Selectivity Ratio and VIP scores.
The N-PLS model (Rasmus Bro, 1996 <DOI:10.1002/(SICI)1099-128X(199601)10:1%3C47::AID-CEM400%3E3.0.CO;2-C>)
is the natural extension of PLS (Partial Least Squares) to N-way structures, and tries
to maximize the covariance between X and Y data arrays. The package also adds
variable selection through L1 penalization, Selectivity Ratio and VIP scores.

David Hervas

sNPLS

NPLS Regression with L1 Penalization

bread function

<p>An object of class <code>list</code> of length 2.</p>

bread: Bread data

Description

Usage

Arguments

Format

References