ash {chemometrics}R Documentation

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)

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 Chemeometrics. CRC Press. To appear.

References

K. Varmuza and P. Filzmoser: Introduction to Multivariate Statistical Analysis in Chemeometrics. CRC Press. To appear.

Examples

data(ash)
str(ash)

[Package chemometrics version 0.4 Index]