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# Instances: 30 / # Attributes: 41
HDF5 (21.9 KB) XML CSV ARFF LibSVM Matlab Octave
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- Original Data Format
- arff
- Name
- papir
- Version mldata
- 0
- Comment
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
April 14. 1999
This file contains two multivariate regression data sets from paper industry. They have been described and analysed in
Aldrin, M. (1996), "Moderate projection pursuit regression for multivariate response data", Computational Statistics and Data Analysis, 21, p. 501-531.
A short description is given above each data set. A more detailed description is found in Aldrin (1996).
These data sets are delivered by Magne Aldrin, Norwegian Computing Center, P.O. Box 114 Blindern,N-0314 Oslo email: magne.aldrin@nr.no WWW: http://www.nr.no/~aldrin/
Permission is hereby given to Statlib to redistribute these data sets. They can be freely distributed and used for non-commercial purposes.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Data set from an experiment at the paper plant Saugbruksforeningen, Norway. It were described and analysed in Aldrin (1996), but not published then.
It consists of 30 observations (rows) and 41 variables (colums).
Columns 1 to 32 are response variables that describes various qualities of the paper.
Columns 33 to 41 are 9 predictor variables. The first three predictor variables (x1 in column 33, x2 in column 34 and x3 in column 35) were varied systematically through the experiment. The next three predictor variables (columns 36 to 38) are constructed as x12, x22 and x32. The last three predictor variables (columns 39 to 41) are constructed as x1*x2, x1x3 and x2x3. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Information about the dataset CLASSTYPE: numeric CLASSINDEX: none specific
- Names
- response_1,response_2,response_3,response_4,response_5,response_6,response_7,response_8,response_9,response_10,
- Types
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- Data (first 10 data points)
resp... resp... resp... resp... resp... resp... resp... resp... resp... resp... ... 13.571 12.402 14.136 12.332 12.073 17.608 12.256 14.323 13.851 13.637 ... 16.89 13.494 15.583 11.565 11.801 16.775 12.821 13.104 14.193 13.153 ... 14.742 13.99 16.139 14.365 12.527 17.132 13.01 14.323 15.216 14.053 ... 14.449 13.99 16.028 13.191 13.435 15.823 12.821 14.73 15.148 14.191 ... 15.816 14.387 15.917 13.1 13.707 17.965 13.858 15.949 13.306 12.184 ... 14.352 13.692 17.141 13.281 13.435 17.727 14.047 15.339 14.397 12.184 ... 15.23 14.684 16.362 14.365 15.159 18.56 14.613 16.355 13.92 13.43 ... 14.742 16.073 16.362 12.739 13.707 18.441 15.744 15.441 13.442 13.499 ... 14.742 14.387 16.362 12.829 12.799 17.965 14.33 14.425 14.943 13.845 ... 14.84 14.784 17.364 12.107 13.707 18.322 12.916 14.526 12.896 13.914 ... ... ... ... ... ... ... ... ... ... ... ...
- Description
A gzip'ed tar containing StatLib datasets (statlib-20050214.tar.gz, 12,785,582 Bytes)
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- Data Source
- http://lib.stat.cmu.edu/datasets/
- Measurement Details
- Usage Scenario
- revision 1
- by mldata on 2010-11-06 10:00
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.