Wine: Wine
In cggd: Continuous Generalized Gradient Descent
Description
Usage
Format
Details
Source
Description
The Wine data file has both learning and test data.
Usage
1
Format
This data file contains the following items:
- x.learning
94 spectra (lines), sampled with 256 points (columns)
- y.learning
Corresponding level of alcohol, in a column vector (94 lines).
- x.test
30 spectra (lines), sampled with 256 points (columns)
- y.test
Corresponding level of alcohol, in a column vector (30 lines).
Details
To estimate the level of alcohol of a wine from its observed mean infrared spectrum.
Source
This database has been provided by Prof. Marc Meurens, Université catholique de Louvain, BNUT unit.
Please acknowledge the origin of this database if you use it and/or publish about it.
It can be found at http://www.ucl.ac.be/mlg/index.php?page=DataBases
cggd documentation built on May 30, 2017, 4:33 a.m.
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Description Usage Format Details Source
Description
The Wine data file has both learning and test data.
Usage
1 |
Format
This data file contains the following items:
- x.learning
94 spectra (lines), sampled with 256 points (columns)
- y.learning
Corresponding level of alcohol, in a column vector (94 lines).
- x.test
30 spectra (lines), sampled with 256 points (columns)
- y.test
Corresponding level of alcohol, in a column vector (30 lines).
Details
To estimate the level of alcohol of a wine from its observed mean infrared spectrum.
Source
This database has been provided by Prof. Marc Meurens, Université catholique de Louvain, BNUT unit. Please acknowledge the origin of this database if you use it and/or publish about it. It can be found at http://www.ucl.ac.be/mlg/index.php?page=DataBases
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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