#### 8.2.58.60 tblish.dataset.stackloss ¶

Static Method: `out =` stackloss `()` ¶

  Brownlee’s Stack Loss Plant Data

  #### Description ¶

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

  #### Format ¶

  `AirFlow`

    Flow of cooling air.

  `WaterTemp`

    Cooling Water Inlet temperature.

  `AcidConc`

    Concentration of acid (per 1000, minus 500).

  `StackLoss`

    Stack loss

  #### 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.)

  `AirFlow` represents the rate of operation of the plant. `WaterTemp` is the temperature of cooling water circulated through coils in the absorption tower. `AcidConc` is the concentration of the acid circulating, minus 50, times 10: that is, 89 corresponds to 58.9 per cent acid. `StackLoss` (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. Monterey: 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 ¶

      t = tblish.dataset.stackloss;

      # TODO: Create linear model and print summary