\HeaderA{Glass}{Glass Identification Database}{Glass}
\keyword{datasets}{Glass}
\begin{Description}\relax
A data frame with 214 observation containing examples of
the chemical analysis of 7 different types of glass. The problem is to
forecast the type of class on basis of the chemical analysis.  The
study of classification of types of glass was motivated by
criminological investigation.  At the scene of the crime, the glass left
can be used as evidence (if it is correctly identified!).
\end{Description}
\begin{Usage}
\begin{verbatim}data(Glass)\end{verbatim}
\end{Usage}
\begin{Format}\relax
A data frame with 214 observations on 10 variables:
\Tabular{cll}{
[,1] & RI & refractive index\\{}
[,2] & Na & Sodium\\{}
[,3] & Mg & Magnesium\\{}
[,4] & Al & Aluminum\\{}
[,5] & Si & Silicon\\{}
[,6] & K  & Potassium\\{}
[,7] & Ca & Calcium\\{}
[,8] & Ba & Barium\\{}
[,9] & Fe & Iron \\{}
[,10] & Type & Type of glass (class attribute) \\ 
}
\end{Format}
\begin{Source}\relax
\Itemize{
\item Creator: B. German, Central Research Establishment, Home
Office Forensic Science Service, Aldermaston, Reading, Berkshire
RG7 4PN 
\item Donor: Vina Spiehler, Ph.D., DABFT, Diagnostic Products
Corporation
}

These data have been taken from the UCI Repository Of Machine Learning
Databases at
\Itemize{
\item \url{ftp://ftp.ics.uci.edu/pub/machine-learning-databases}
\item \url{http://www.ics.uci.edu/~mlearn/MLRepository.html}
}
and were converted to R format by Friedrich.Leisch@ci.tuwien.ac.at.
\end{Source}

