olitos: Olive Oil Data
In rrcov: Scalable Robust Estimators with High Breakdown Point
olitos R Documentation
Olive Oil Data
Description
This dataset consists of 120 olive oil samples on measurements on
25 chemical compositions (fatty acids, sterols, triterpenic alcohols)
of olive oils from Tuscany, Italy (Armanino et al. 1989).
There are 4 classes corresponding to different production areas.
Class 1, Class 2, Class 3, and Class 4 contain 50, 25, 34, and 11
observations, respectively.
Usage
data(olitos)
Format
A data frame with 120 observations on the following 26 variables.
X1Free fatty acids
X2Refractive index
X3K268
X4delta K
X5Palmitic acid
X6Palmitoleic acid
X7a numeric vector
X8a numeric vector
X9a numeric vector
X10a numeric vector
X11a numeric vector
X12a numeric vector
X13a numeric vector
X14a numeric vector
X15a numeric vector
X16a numeric vector
X17a numeric vector
X18a numeric vector
X19a numeric vector
X20a numeric vector
X21a numeric vector
X22a numeric vector
X23a numeric vector
X24a numeric vector
X25a numeric vector
grpa factor with levels 1 2 3 4
Source
Prof. Roberto Todeschini, Milano Chemometrics and QSAR Research Group
https://michem.unimib.it
References
C. Armanino, R. Leardi, S. Lanteri and G. Modi, 1989.
Chemometric analysis of Tuscan olive oils.
Cbemometrics and Intelligent Laboratoty Sysiem, 5: 343–354.
R. Todeschini, V. Consonni, A. Mauri, M. Pavan (2004)
Software for the calculation of molecular descriptors.
Pavan M. Talete slr, Milan, Italy, http://www.talete.mi.it
Examples
data(olitos)
cc <- Linda(grp~., data=olitos, method="mcdC", l1med=TRUE)
cc
pr <- predict(cc)
tt <- mtxconfusion(cc@grp, pr@classification, printit=TRUE)
rrcov documentation built on June 8, 2025, 12:38 p.m.
R Package Documentation
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| olitos | R Documentation |
Olive Oil Data
Description
This dataset consists of 120 olive oil samples on measurements on 25 chemical compositions (fatty acids, sterols, triterpenic alcohols) of olive oils from Tuscany, Italy (Armanino et al. 1989). There are 4 classes corresponding to different production areas. Class 1, Class 2, Class 3, and Class 4 contain 50, 25, 34, and 11 observations, respectively.
Usage
data(olitos)Format
A data frame with 120 observations on the following 26 variables.
X1Free fatty acids
X2Refractive index
X3K268
X4delta K
X5Palmitic acid
X6Palmitoleic acid
X7a numeric vector
X8a numeric vector
X9a numeric vector
X10a numeric vector
X11a numeric vector
X12a numeric vector
X13a numeric vector
X14a numeric vector
X15a numeric vector
X16a numeric vector
X17a numeric vector
X18a numeric vector
X19a numeric vector
X20a numeric vector
X21a numeric vector
X22a numeric vector
X23a numeric vector
X24a numeric vector
X25a numeric vector
grpa factor with levels
1234
Source
Prof. Roberto Todeschini, Milano Chemometrics and QSAR Research Group https://michem.unimib.it
References
C. Armanino, R. Leardi, S. Lanteri and G. Modi, 1989. Chemometric analysis of Tuscan olive oils. Cbemometrics and Intelligent Laboratoty Sysiem, 5: 343–354.
R. Todeschini, V. Consonni, A. Mauri, M. Pavan (2004) Software for the calculation of molecular descriptors. Pavan M. Talete slr, Milan, Italy, http://www.talete.mi.it
Examples
data(olitos)
cc <- Linda(grp~., data=olitos, method="mcdC", l1med=TRUE)
cc
pr <- predict(cc)
tt <- mtxconfusion(cc@grp, pr@classification, printit=TRUE)
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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