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