View statlib-20050214 papir_1 (public)
























- Summary
(No information yet)
- License
- unknown (from Weka repository)
- Dependencies
- Tags
- arff slurped Weka
- Attribute Types
- Integer,Floating Point
- Download
-
# Instances: 29 / # Attributes: 22
HDF5 (15.6 KB) XML CSV ARFF LibSVM Matlab Octave
You can edit this item to add more meta information and make use of the site's premium features.
- 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 Norske Skog, Skogn, Norway. It were described and analysed in Aldrin (1996), and published there.
It consists of 30 observations (rows) and 22 variables (colums), but all response variables are missing for the 28th observation.
Columns 1 to 13 are response variables that describes various qualities of the paper.
Columns 14 to 22 are 9 predictor variables. The first three predictor variables (x1 in column 14, x2 in column 15 and x3 in column 16) were varied systematically through the experiment, taking the values 1, 0 and -1. The next three predictor variables (columns 17 to 19) are constructed as x12, x22 and x32. The last three predictor variables (columns 20 to 22) 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... ... 33.8... 30.0... 8.6891 9.6493 15.2... 11.0... 11.5... 18.5... 22.788 17.7... ... 33.8... 30.2... 8.3624 9.5133 15.2... 12.2... 10.6... 20.2... 25.1... 17.2... ... 32.5... 31.7... 7.0558 7.8825 15.2... 12.9... 9.8643 16.893 24.0... 15.0... ... 32.5... 31.3... 7.4478 8.3582 15.5... 11.4... 11.3... 18.7... 24.4... 16.8... ... 32.5... 31.508 7.5785 8.4941 15.2... 11.8... 10.8... 19.2... 23.0... 17.7... ... 30.7... 32.8... 5.5532 6.1157 13.9... 11.4... 10.1... 19.3... 22.2... 18.6... ... 31.2... 33.7... 4.7039 6.3875 12.9... 14.058 7.7042 19.2... 20.4... 20.0... ... 31.6... 32.3... 7.0558 7.3389 13.3... 12.2... 9.2163 17.9... 21.4... 17.7... ... 32.0... 32.0... 7.2518 7.6107 13.9... 12.9... 9.1443 18.7... 22.2... 17.2... ... 32.5... 31.7... 7.9705 8.2223 13.6... 12.9... 8.8563 18.6... 21.2... 19.1... ... ... ... ... ... ... ... ... ... ... ... ...
- Description
A gzip'ed tar containing StatLib datasets (statlib-20050214.tar.gz, 12,785,582 Bytes)
- URLs
- (No information yet)
- Publications
- Data Source
- http://lib.stat.cmu.edu/datasets/
- Measurement Details
- Usage Scenario
- revision 1
- by mldata on 2010-11-06 10:00
No one has posted any comments yet. Perhaps you would like to be the first?
Leave a comment
To post a comment, please sign in.This item was downloaded 3138 times and viewed 1815 times.
No Tasks yet on dataset statlib-20050214 papir_1
Submit a new Task for this Data itemDisclaimer
We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.
Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.