prot

<p>This is a dataset containing the abundance of 724 proteins from 9 seeds samples
just after germination.
The temperature of seed maturation vary between the different seeds.</p>

data

It performs variable selection in a multivariate linear model by estimating the covariance matrix
of the residuals then use it to remove the dependence that may exist among the responses and eventually performs variable selection by using the Lasso criterion.
The method is described in the paper Perrot-Dock<c3><a8>s et al. (2017) <arXiv:1704.00076>.

Marie Perrot-Dockc3<a8>s

MultiVarSel

Variable Selection in a Multivariate Linear Model

prot function

This is a dataset containing the abundance of 724 proteins from 9 seeds samples
just after germination.
The temperature of seed maturation vary between the different seeds. — prot

This is a dataset containing the abundance of 724 proteins from 9 seeds samples
just after germination.
The temperature of seed maturation vary between the different seeds.

prot: This is a dataset containing the abundance of 724 proteins from 9 seeds samples just after germination. The temperature of seed maturation vary between the different seeds.

Description

Arguments