wine

A data set of results from chemical analysis of wines grown in Italy
from three different cultivars.

datasets

Efficient implementations for Sorted L-One Penalized Estimation
(SLOPE): generalized linear models regularized with the sorted L1-norm
(Bogdan et al. 2015). Supported models include
ordinary least-squares regression, binomial regression, multinomial
regression, and Poisson regression. Both dense and sparse  predictor
matrices are supported. In addition, the package features predictor
screening rules that enable fast and efficient solutions to high-dimensional
problems.

Johan Larsson

SLOPE

Sorted L1 Penalized Estimation

Jonas Wallin

Malgorzata Bogdan

Ewout van den Berg

Chiara Sabatti

Emmanuel Candes

Evan Patterson

Weijie Su

Jakub Kała

Krystyna Grzesiak

Michal Burdukiewicz

Jerome Friedman

Trevor Hastie

Rob Tibshirani

Balasubramanian Narasimhan

Noah Simon

Junyang Qian

Akarsh Goyal

wine function

178 observations from 13 variables represented as a list consisting
of a categorical response vector <code>y</code>
with three levels: A, B, and C representing different
cultivars of wine as well as <code>x</code>: a sparse feature matrix of class
'dgCMatrix' with the following variables:<dl>
<dt>alcohol</dt>
<dd>alcoholic content</dd><dt>malic</dt>
<dd>malic acid</dd><dt>ash</dt>
<dd>ash</dd><dt>alcalinity</dt>
<dd>alcalinity of ash</dd><dt>magnesium</dt>
<dd>magnemium</dd><dt>phenols</dt>
<dd>total phenols</dd><dt>flavanoids</dt>
<dd>flavanoids</dd><dt>nonflavanoids</dt>
<dd>nonflavanoid phenols</dd><dt>proanthocyanins</dt>
<dd>proanthocyanins</dd><dt>color</dt>
<dd>color intensity</dd><dt>hue</dt>
<dd>hue</dd><dt>dilution</dt>
<dd>OD280/OD315 of diluted wines</dd><dt>proline</dt>
<dd>proline</dd>
</dl>

Format

Wine cultivars — wine

178 observations from 13 variables represented as a list consisting
of a categorical response vector <code>y</code>
with three levels: A, B, and C representing different
cultivars of wine as well as <code>x</code>: a sparse feature matrix of class
'dgCMatrix' with the following variables:<dl>
<dt>alcohol</dt>
<dd>alcoholic content</dd>

<dt>malic</dt>
<dd>malic acid</dd>

<dt>ash</dt>
<dd>ash</dd>

<dt>alcalinity</dt>
<dd>alcalinity of ash</dd>

<dt>magnesium</dt>
<dd>magnemium</dd>

<dt>phenols</dt>
<dd>total phenols</dd>

<dt>flavanoids</dt>
<dd>flavanoids</dd>

<dt>nonflavanoids</dt>
<dd>nonflavanoid phenols</dd>

<dt>proanthocyanins</dt>
<dd>proanthocyanins</dd>

<dt>color</dt>
<dd>color intensity</dd>

<dt>hue</dt>
<dd>hue</dd>

<dt>dilution</dt>
<dd>OD280/OD315 of diluted wines</dd>

<dt>proline</dt>
<dd>proline</dd>


</dl>

Wine cultivars

wine: Wine cultivars

Description

Usage

Arguments

Format

See Also