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chemometrics (version 1.3.9)

ash: ash data

Description

Data from 99 ash samples originating from different biomass, measured on 9 variables; 8 log-transformed variables are added.

Usage

data(ash)

Arguments

Format

A data frame with 99 observations on the following 17 variables.
SOT
a numeric vector
P2O5
a numeric vector
SiO2
a numeric vector
Fe2O3
a numeric vector
Al2O3
a numeric vector
CaO
a numeric vector
MgO
a numeric vector
Na2O
a numeric vector
K2O
a numeric vector
log(P2O5)
a numeric vector
log(SiO2)
a numeric vector
log(Fe2O3)
a numeric vector
log(Al2O3)
a numeric vector
log(CaO)
a numeric vector
log(MgO)
a numeric vector
log(Na2O)
a numeric vector
log(K2O)
a numeric vector

Source

K. Varmuza and P. Filzmoser: Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press, Boca Raton, FL, 2009.

Details

The dependent variable Softening Temperature (SOT) of ash should be modeled by the elemental composition of the ash data. Data from 99 ash samples - originating from different biomass - comprise the experimental SOT (630-1410 centigrades), and the experimentally determined eight mass concentrations the listed elements. Since the distribution of the elements is skweed, the log-transformed variables have been added.

References

K. Varmuza and P. Filzmoser: Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press, Boca Raton, FL, 2009.

Examples

Run this code
data(ash)
str(ash)

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