The text for the course is

<blockquote>
<em>Modern Applied Statistics with S-Plus</em>, Second Edition,
by Bill Venables and Brian Ripley, 1997.
</blockquote>

<P>A recommended text (I forgot to mention this earlier) for the course
is</P>

<BLOCKQUOTE>
<P><I>The Basics of S and SPLUS</I>, by A. Krause and M. Olsen,
1997.</P>
</BLOCKQUOTE>

<p>
The book has a <a href="http://lib.stat.cmu.edu/S/MASS2/">web page</a>,
containing useful information and links.  All the software and data sets
for the book (as well as some others; see Appendix A in the book, e.g.)
can be obtained here.

<p>
More generally, <A HREF="http://lib.stat.cmu.edu/">StatLib</A> is a general 
purpose server for the statistical community.  There are several sites on 
Statlib where data sets and algorithms are available, including:

<ul>

<li>
If you are looking for S software, try the 
<a href="http://lib.stat.cmu.edu/S/">S-archive</a>.

<li>
The <a href="http://lib.stat.cmu.edu/datasets/"> datasets</a>
archive contains many varied data sets, as well as collections of data
sets from some books.

<li>
The <a href="http://www.stat.cmu.edu/DASL">Data and Story Library</a>
is an "online library of datafiles and stories that illustrate the
use of basic statistics methods."

<li>
There are several other sites on StatLib which contain data sets.
Check out the index on the <A HREF="http://lib.stat.cmu.edu/">
StatLib</A> home page. 

</ul>

<p>
See also the 
<A HREF="http://www.scs.unr.edu/~cbmr/research/data.html">
data sources</A> page maintained at the University of Nevada.

<p>