OJ: OJ
In cggd: Continuous Generalized Gradient Descent
Description
Usage
Format
Details
Source
Description
The OJ datafile has both learning and test data.
Usage
1
Format
This data file contains the following items:
- x.learning
150 spectra (lines), sampled with 700 points (columns)
- y.learning
Corresponding level of saccharose, in a column vector (150 lines).
- x.test
68 spectra (lines), sampled with 700 points (columns)
- y.test
Corresponding level of saccharose, in a column vector (68 lines).
Details
The goal is to estimate the level of saccharose of an orange juice from its observed near-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 OJ datafile has both learning and test data.
Usage
1 |
Format
This data file contains the following items:
- x.learning
150 spectra (lines), sampled with 700 points (columns)
- y.learning
Corresponding level of saccharose, in a column vector (150 lines).
- x.test
68 spectra (lines), sampled with 700 points (columns)
- y.test
Corresponding level of saccharose, in a column vector (68 lines).
Details
The goal is to estimate the level of saccharose of an orange juice from its observed near-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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