wine: Wine dataset

In vqv/fps: Fantope Projection and Selection

Description

Results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 13 constituents found in each of the three types of wines.

Usage

data(wine)

Format

A wine data frame consisting of 178 observations (rows) and 13 columns and vector wine.class of factors indicating the cultivars.

Source

UCI Machine Learning Repository (http://archive.ics.uci.edu/ml/datasets/Wine)

Examples

data(wine)
out <- fps(cor(wine), ndim = 2)
v <- coef(out, lambda = 0.5)
print(v)

vqv/fps documentation built on May 3, 2019, 6:41 p.m.