The Second Edition was published in July 1997 and had a second printing in December 1997 and a third in November 1998. The First Edition (ISBN 0387943501) was published in 1994, had four printings and sold over 10,000 copies.
Online material:  

Description  Contents  Differences from First 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, StatLib (Pittsburgh) and Wisconsin.
SPLUS is a powerful environment for statistical and graphical analysis of data. It provides the tools to implement many statistical ideas which 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 for both Windows and UNIX workstations.
The aim of the book is to show how to use SPLUS as a powerful and graphical 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 stateoftheart approaches to topics such as linear and nonlinear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, treebased methods, time series and spatial statistics.
This second edition is intended for users of SPLUS 3.3, 3.4, 4.0 or later. It covers the recent developments in graphics and new statistical functionality, including bootstrapping, mixed effects linear and nonlinear models, factor analysis and regression with autocorrelated errors. The material on SPLUS programming has been rewritten to explain the full story behind the objectoriented programming features.
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.
SPLUS is a commercial system of the Data Analysis Products Division of MathSoft Inc.

Appendices:

Many 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.
VR2ans.ps.gz  gziped PostScript  (135Kb) 
VR2ans.zip  ziped PostScript  (135Kb) 
VR2ans.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..
There are errata lists available for
Printing  

First Edition  first  second  third  fourth 
Second Edition  first  second  third 
The First Edition was written when SPLUS 3.1 was current; version 3.2 appeared during production. Later printings have made small changes in the light of versions 3.3 and 3.4.
The Second Edition has been extensively revised, assuming that the reader has SPLUS 3.3 or later. The Windows version of SPLUS has become much more capable and more popular, and is given equal prominence with the Unix version. (The authors regularly use both and have participated in the betatest program for 4.0 for Windows.)
There is new material on the recent developments in graphics and new statistical functionality in SPLUS, including bootstrapping, mixed effects linear and nonlinear models, factor analysis and regression with autocorrelated errors. The programming material has been rewritten and expanded to explain the important concepts of objectoriented programming in SPLUS in much more detail. The chapter on linear models now discusses the topic of coding in model matrices (which many readers find confusing) in much more depth. There is a new chapter on (supervised) classification methods.
Some of the more specialized or platformdependent material (for example on dynamic loading and creating libraries) has been removed to online complements. There are more exercises, and many further exercises (with selected answers) are available online.
Dr W. N. Venables Department of Statistics University of Adelaide Adelaide, South Australia 5005 Australia 
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