# stackloss

##### Brownlee's Stack Loss Plant Data

Operational data of a plant for the oxidation of ammonia to nitric acid.

- Keywords
- datasets

##### Usage

`stackloss`stack.x
stack.loss

##### 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.

##### 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.

##### 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

`library(datasets)`

```
# NOT RUN {
require(stats)
summary(lm.stack <- lm(stack.loss ~ stack.x))
# }
```

*Documentation reproduced from package datasets, version 3.5.2, License: Part of R 3.5.2*