ash data

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Description

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

Usage

1

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

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.

Source

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

References

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

Examples

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