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, Boca Raton, FL, 2009.

### References

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

### Examples

    data(ash)
    str(ash)

[Package chemometrics version 0.6 Index]