wine: Chemical ingredients of wine dataset
In nsdr: Nonlinear Sufficient Dimension Reduction
Description
Usage
Format
Source
References
Description
This dataset is about chemical analysis of 178 wines in a particular region of Italy. There are three cultivars with 59, 71, and 48, respectively.
Usage
1
Format
A data frame with 178 observations on 14 variables.
Attributes
1. cultivar
2. alcohol
3. malic acid
4. ash
5. alcalinity of ash
6. magnesium
7. total phenols
8. flavanoids
9. nonflavanoid phenols
10. oroanthocyanins
11. color intensity
12. hue
13. OD280/OD315 of diluted wines
14. proline.
Source
https://archive.ics.uci.edu/ml/datasets/wine
References
Forina, M., Leardi, R., Armanino, C., Lanteri, S., Conti, P., & Princi, P. (1988). PARVUS: An extendable package of programs for data exploration, classification and correlation. Journal of Chemometrics, 4(2), 191-193..
nsdr documentation built on June 3, 2021, 9:06 a.m.
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Description Usage Format Source References
Description
This dataset is about chemical analysis of 178 wines in a particular region of Italy. There are three cultivars with 59, 71, and 48, respectively.
Usage
1 |
Format
A data frame with 178 observations on 14 variables.
Attributes 1. cultivar 2. alcohol 3. malic acid 4. ash 5. alcalinity of ash 6. magnesium 7. total phenols 8. flavanoids 9. nonflavanoid phenols 10. oroanthocyanins 11. color intensity 12. hue 13. OD280/OD315 of diluted wines 14. proline.
Source
https://archive.ics.uci.edu/ml/datasets/wine
References
Forina, M., Leardi, R., Armanino, C., Lanteri, S., Conti, P., & Princi, P. (1988). PARVUS: An extendable package of programs for data exploration, classification and correlation. Journal of Chemometrics, 4(2), 191-193..
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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