%                      File README
%                      -----------
% 
% chscase  A collection of the data sets used in the book 
%          "A Casebook for a First Course in Statistics and Data Analysis,"
%          by Samprit Chatterjee, Mark S. Handcock and Jeffrey S. Simonoff,
%          John Wiley and Sons, New York, 1995. Submitted by 
%          Samprit Chatterjee (schatterjee@stern.nyu.edu),
%          Mark Handcock (mhandcock@stern.nyu.edu) and 
%          Jeff Simonoff (jsimonoff@stern.nyu.edu)
% 
% This submission consists of 38 files, plus this README file.
% Each file represents a data set analyzed in the book. The names
% of the files correspond to the names used in the book. The data
% files are written in plain ASCII (character) text. Missing
% values are represented by "M" in all data files.
% 
% More information about the data sets and the book can be
% obtained via gopher at the address
%                      swis.stern.nyu.edu
% 
% The information is filed under
%   ---> Academic Departments & Research Centers
%    ---> Statistics and Operations Research
%     ---> Publications
%      ---> A Casebook for a First Course in Statistics and Data Analysis
%       ---> Welcome!
% 
% It can also be accessed from the World Wide Web (WWW) using a
% WWW browser (e.g., netscape) starting from the URL address
%           http://www.stern.nyu.edu/SOR/Casebook
% 
% 
% 
% NOTICE: These datasets may be used freely for scientific,
% educational and/or non-commercial purposes, provided suitable
% acknowledgment is given (by citing the Chatterjee, Handcock and
% Simonoff reference above).
% 
% File: ppp.dat
% 
% Note: attribute names were generated automatically since there was no
%       information in the data itself.
% 
% 
% Information about the dataset
% CLASSTYPE: numeric
% CLASSINDEX: none specific
% 
@relation chscase-ppp
@attribute col_1 {Australia,Austria,Belgium,Canada,Chile,Colombia,Costa_Rica,Cyprus,Czechoslovakia,Denmark,Ecuador,Egypt,Finland,France,Germany,Ghana,Greece,Hungary,India,Indonesia,Iran,Ireland,Israel,Italy,Japan,Korea,Mexico,Morocco,Netherlands,New_Zealand,Norway,Panama,Philippines,Singapore,South_Africa,Spain,Sri_Lanka,Sweden,Switzerland,Thailand,Turkey,United_Kingdom,Uruguay,Venezuela}
@attribute col_2 numeric
@attribute col_3 numeric
@attribute col_4 numeric
@attribute col_5 numeric

@data
Australia,344697,-222615,362836,399243
Austria,-284312,-1197250,-214455,-300037
Belgium,-63888,-1149660,-217764,-445400
Canada,91474,-314511,95945,-37619
Chile,2752827,1277215,2702101,1264657
Colombia,1858261,2522128,1709647,2069606
Costa_Rica,1579292,1192314,1448453,1013828
Cyprus,144333,-581180,8685,-139634
Czechoslovakia,-102077,92350,-240715,-164527
Denmark,49458,-1075610,123206,-180001
Ecuador,2283059,4802549,1814339,3808751
Egypt,1289455,2705180,901533,1595062
Finland,25738,-966089,134951,-85196
France,159568,-1001650,155156,-107543
Germany,-280343,-1200000,-189497,-219218
Ghana,3765431,3584377,3765242,3121122
Greece,1065676,275455,1108797,990171
Hungary,241913,463998,182156,646403
India,491362,694463,244539,477629
Indonesia,993846,1012818,820899,608801
Iran,4492,-581019,1118060,1813681
Ireland,193853,-894559,287998,-137732
Israel,5413197,1073435,5421602,1769485
Italy,404763,-932146,541199,135831
Japan,-478494,-998505,-343752,-436550
Korea,253347,-412822,296040,-95035
Mexico,3610757,4786589,3551927,4922527
Morocco,473297,-399072,339187,178159
Netherlands,-218995,-1202110,-144490,-219218
New_Zealand,466720,-376470,668496,355156
Norway,120209,-634609,178928,207169
Panama,0,0,-126530,-469940
Philippines,806798,534709,907668,550364
Singapore,-179143,-387604,-259469,-373536
South_Africa,834927,298435,835791,1142170
Spain,382773,-1023460,509510,-19617
Sri_Lanka,1162342,777219,767709,853653
Sweden,236330,-748164,301878,108788
Switzerland,-413043,-1140510,-319965,-201475
Thailand,151669,-119359,58023,184642
Turkey,3464388,3217910,3224987,3706542
United_Kingdom,146547,-649466,341740,223105
Uruguay,4169817,4892574,4148201,5236151
Venezuela,1595272,3666251,1352651,3020931