R: Brownlee's Stack Loss Plant Data

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 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 provided as well.

### Details

“Obtained from 21 days of operation of a plant for the oxidation of ammonia (NH3) to nitric acid (HNO3). 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))

[Package datasets version 4.0.5 Index]