glass


  The <code>glass</code> data frame has 214 observations and 10 variables,
  representing glass fragments.


datasets

Mixture and flexible discriminant analysis, multivariate
adaptive regression splines (MARS), BRUTO, ...

Trevor Hastie

Mixture and Flexible Discriminant Analysis

glass function

This data frame contains the following columns:
  <dl>
    <dt>RI</dt><dd>refractive index</dd> <dt>Na</dt><dd>weight percent in corresponding oxide</dd> <dt>Mg</dt><dd>weight percent in corresponding oxide</dd> <dt>Al</dt><dd>weight percent in corresponding oxide</dd> <dt>Si</dt><dd>weight percent in corresponding oxide</dd> <dt>K</dt><dd>weight percent in corresponding oxide</dd> <dt>Ca</dt><dd>weight percent in corresponding oxide</dd> <dt>Ba</dt><dd>weight percent in corresponding oxide</dd> <dt>Fe</dt><dd>weight percent in corresponding oxide</dd> <dt>Type</dt><dd>Type of glass:
      <dl>
	<dt>1</dt><dd>building\_windows\_float\_processed,</dd> <dt>2</dt><dd>building\_windows\_non\_float\_processed,</dd> <dt>3</dt><dd>vehicle\_windows\_float\_processed,</dd> <dt>4</dt><dd>vehicle\_windows\_non\_float\_processed (none in this
	  database),</dd> <dt>5</dt><dd>containers,</dd> <dt>6</dt><dd>tableware,</dd> <dt>7</dt><dd>headlamps</dd> </dl> </dd> </dl> 

Format

P. M. Murphy and D. W. Aha (1999),
  UCI Repository of Machine Learning Databases,
  <a href="http://ftp.ics.uci.edu/pub/machine-learning-databases">http://ftp.ics.uci.edu/pub/machine-learning-databases</a>

glass: Glass Identification Database

Description

Usage

Arguments

Format

Source