A data frame with 301 observations on the following 23 variables.
Details
Pulp quality is measured by the lignin content remaining in the pulp:
the Kappa number. This data set is used to understand which variables
in the process influence the Kappa number, and if it can be predicted
accurately enough for an inferential sensor application.
Variables with a number at the end have been lagged by that
number of hours to line up the data.
References
K. Walkush and R.R. Gustafson. Application of feedforward neural networks and partial least
squares regression for modelling Kappa number in a continuous Kamyr digester",
Pulp and Paper Canada, 95, 1994, p T7-T13.