There is a Fourth Edition in press, due ca July 2002.
The third edition is in two parts: the Third Edition of MASS was published in July 1999 and the companion volume on S Programming published in April 2000
Springer's information has shown some confusion: at one time this volume was known as `Volume 1: Data Analysis' and the companion as Volume 2, but this was changed a long time ago.The Second Edition (ISBN 0387982140) was published in July 1997 and had three printings. The First Edition (ISBN 0387943501) was published in 1994, had four printings and sold over 10,000 copies.
Online material:  

Description  Contents  Differences from Second Edition 
Online Complements  Exercises and Selected Answers  Software and Datasets 
Errata  Contact authors  Publisher's Web Sites 
There are mirrors of this material at Oxford, Sydney, StatLib (Pittsburgh) and Wisconsin.
SPLUS® is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas that have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using SPLUS to perform statistical analyses and provides both an introduction to the use of SPLUS and a course in modern statistical methods. SPLUS is available commercially for both Windows® and UNIX® workstations, and both versions are covered in depth.
The aim of this book is to show how to use SPLUS as a powerful and graphical data analysis system. Readers are assumed to have a basic grounding in statistics, and so the book is intended for wouldbe users of SPLUS and both students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets. Many of the methods discussed are state of the art approaches to topics such as linear, nonlinear and smooth regression models, treebased methods, multivariate analysis and pattern recognition, survival analysis, time series and spatial statistics. Throughout modern techniques such as robust methods, nonparametric smoothing and bootstrapping are used where appropriate.
This third edition is intended for users of SPLUS 2000, 5.x, or 6.x, although SPLUS 3.3/4 are also considered. The major change from the second edition is coverage of the current versions of SPLUS. The material has been extensively rewritten using new examples and the latest computationallyintensive methods. The companion volume on S programming will provide an indepth guide for those writing software in the S language.
The authors have written several software libraries which enhance SPLUS; these and all the data sets used are available on the Internet in versions for Windows and Unix. They are also supplied with SPLUS 2000 Professional edition. There are extensive online complements covering advanced material, usercontributed extensions, further exercises and new features of SPLUS as they are introduced.
Dr. Venables is now Statistician with CSIRO in Queensland, having been at the Department of Statistics, University of Adelaide for many years previously. He has given many short courses on SPLUS in Australia, Europe and the USA. Professor Ripley holds the Chair of Applied Statistics at the University of Oxford, and is the author of four other books on spatial statistics, simulation, pattern recognition and neural networks.
SPLUS is a commercial system of the Insightful Corporation.
The book is also useful with R, a freelyavailable opensource statistical system `not unlike S'. We have tried where possible to use code that works in all versions of SPLUS and in R.

Appendices:

Some additional exercises on both S programming and data analysis are available for downloading. There are answers to almost all the programming exercises and some of the data analysis problems.
VR3ans.ps.gz  gziped PostScript  (125Kb) 
VR3ans.zip  ziped PostScript  (125Kb) 
VR3ans.pdf  (250Kb) 
The PDF version has extensive hyperlinks, for example between
exercises and their answers. Viewers can be downloaded from
www.adobe.com;
a suitable viewer is normally installed with SPLUS
4.x,
2000 and 6.0 on Windows.
There are errata lists available for
Printing  

First Edition  first  second  third  fourth 
Second Edition  first  second  third  
Third Edition  first  second  third 
Only those for the current edition are maintained.
The Second Edition was written when SPLUS 3.4 was current; version 4.0 appeared shortly after the book.
The Third Edition has been extensively revised, assuming that the reader has SPLUS 4.0 or later, and it takes account of SPLUS 5.x and 2000. As much of the material as possible is usable with SPLUS 3.3/4 and also with R.
The statistical material has been reorganized, with robust and bootstapping methods being moved into the main exposition. There are accounts of the analyses made possible by the nlme3 and survival5 software. We have added enhanced software for robust regression and for proportional odds logistic regression, and provided indepth analyses using these. There are new examples and extensive exercises.
The material on programming has been reduced: a much more comprehensive account is given in the companion volume S Programming.
Dr W. N. Venables CMIS Environmetrics Project PO Box 120, Cleveland, Qld, 4163 AUSTRALIA Email: Bill.Venables@cmis.csiro.au 
Professor B. D. Ripley Department of Statistics 1 South Parks Road Oxford OX1 3TG UK Email: ripley@stats.ox.ac.uk 
Links are provided to Springer's home pages in Germany and the USA.