Gasoline {nlme} | R Documentation |
The Gasoline
data frame has 32 rows and 6 columns.
This data frame contains the following columns:
Prater (1955) provides data on crude oil properties and
gasoline yields. Atkinson (1985)
uses these data to illustrate the use of diagnostics in multiple
regression analysis. Three of the covariates—API
,
vapor
, and ASTM
—measure characteristics of the
crude oil used to produce the gasoline. The other covariate —
endpoint
—is a characteristic of the refining process.
Daniel and Wood (1980) notice that the covariates characterizing
the crude oil occur in only ten distinct groups and conclude that the
data represent responses measured on ten different crude oil samples.
Prater, N. H. (1955), Estimate gasoline yields from crudes, Petroleum Refiner, 35 (5).
Atkinson, A. C. (1985), Plots, Transformations, and Regression, Oxford Press, New York.
Daniel, C. and Wood, F. S. (1980), Fitting Equations to Data, Wiley, New York
Venables, W. N. and Ripley, B. D. (1999) Modern Applied Statistics with S-PLUS (3rd ed), Springer, New York.