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 Statistics109, Springer-Verlag, New York.
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> library(datasets)
> png(filename="/home/ddbj/snapshot/RGM3/R_rel/result/datasets/stackloss.Rd_%03d_medium.png", width=480, height=480)
> ### Name: stackloss
> ### Title: Brownlee's Stack Loss Plant Data
> ### Aliases: stackloss stack.loss stack.x
> ### Keywords: datasets
>
> ### ** Examples
>
> require(stats)
> summary(lm.stack <- lm(stack.loss ~ stack.x))
Call:
lm(formula = stack.loss ~ stack.x)
Residuals:
Min 1Q Median 3Q Max
-7.2377 -1.7117 -0.4551 2.3614 5.6978
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -39.9197 11.8960 -3.356 0.00375 **
stack.xAir.Flow 0.7156 0.1349 5.307 5.8e-05 ***
stack.xWater.Temp 1.2953 0.3680 3.520 0.00263 **
stack.xAcid.Conc. -0.1521 0.1563 -0.973 0.34405
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 3.243 on 17 degrees of freedom
Multiple R-squared: 0.9136, Adjusted R-squared: 0.8983
F-statistic: 59.9 on 3 and 17 DF, p-value: 3.016e-09
>
>
>
>
>
> dev.off()
null device
1
>