clust_train

A list with observations by cluster for fitting

datasets

A new methodology for linear regression with both curve response
and curve regressors, which is described in Cho, Goude, Brossat and Yao
(2013) <doi:10.1080/01621459.2012.722900> and (2015)
<doi:10.1007/978-3-319-18732-7_3>. The key idea behind this methodology is
dimension reduction based on a singular value decomposition in a Hilbert
space, which reduces the curve regression problem to several scalar linear
regression problems.

Amandine Pierrot

Curve Linear Regression via Dimension Reduction

clust_train function

A list of length 14:<dl class="dl-horizontal">
 14 clusters of loads, depending on both daily and seasonal classification,
 banking holidays being removed</dl>

Format

Electricity load example: clusters on train set — clust_train

A list of length 14:<dl class='dl-horizontal'>
 14 clusters of loads, depending on both daily and seasonal classification,
 banking holidays being removed</dl>

clust_train: Electricity load example: clusters on train set

Description

Usage

Arguments

Format