| stackloss {datasets} | R Documentation |
Brownlee's Stack Loss Plant Data
Description
Operational data of a plant for the oxidation of ammonia to nitric acid.
Usage
stackloss
stack.x
stack.loss
Format
stackloss is a data frame with 21 observations on 4 variables.
| [,1] | Air Flow | Flow of cooling air |
| [,2] | Water Temp | Cooling Water Inlet Temperature |
| [,3] | Acid Conc. | Concentration of acid [per 1000, minus 500] |
| [,4] | stack.loss | Stack loss |
For historical compatibility with S-PLUS, the data sets
stack.x, a matrix with the first three (independent) variables
of the data frame, and stack.loss, the numeric vector giving
the fourth (dependent) variable, are also provided.
Details
“Obtained from 21 days of operation of a plant for the
oxidation of ammonia (NH_3) to nitric acid
(HNO_3). The nitric oxides produced are absorbed in a
countercurrent absorption tower”.
(Brownlee, cited by Dodge, slightly reformatted by MM.)
Air Flow represents the rate of operation of the plant.
Water Temp is the temperature of cooling water circulated
through coils in the absorption tower.
Acid Conc. is the concentration of the acid circulating, minus
50, times 10: that is, 89 corresponds to 58.9 per cent acid.
stack.loss (the dependent variable) is 10 times the percentage
of the ingoing ammonia to the plant that escapes from the absorption
column unabsorbed; that is, an (inverse) measure of the over-all
efficiency of the plant.
Source
Brownlee, K. A. (1960, 2nd ed. 1965) Statistical Theory and Methodology in Science and Engineering. New York: Wiley. pp. 491–500.
References
Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language. Wadsworth & Brooks/Cole.
Dodge, Y. (1996) The guinea pig of multiple regression. In: Robust Statistics, Data Analysis, and Computer Intensive Methods; In Honor of Peter Huber's 60th Birthday, 1996, Lecture Notes in Statistics 109, Springer-Verlag, New York.
Examples
require(stats)
summary(lm.stack <- lm(stack.loss ~ stack.x))