rrcovHD (version 0.2-6)

olitos: 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.

X1

Free fatty acids

X2

Refractive index

X3

K268

X4

delta K

X5

Palmitic acid

X6

Palmitoleic acid

X7

a numeric vector

X8

a numeric vector

X9

a numeric vector

X10

a numeric vector

X11

a numeric vector

X12

a numeric vector

X13

a numeric vector

X14

a numeric vector

X15

a numeric vector

X16

a numeric vector

X17

a numeric vector

X18

a numeric vector

X19

a numeric vector

X20

a numeric vector

X21

a numeric vector

X22

a numeric vector

X23

a numeric vector

X24

a numeric vector

X25

a numeric vector

grp

a factor with levels 1 2 3 4

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

# NOT RUN {
data(olitos)
cc <- CSimca(grp~., data=olitos, k=c(3,4,2,2))
cc
pr <- predict(cc, method=2)
tt <- rrcov::mtxconfusion(cc@grp, pr@classification, printit=TRUE)
# }