Heat evolved in setting of cement, as a function of its chemical composition.
data.frame with 13 observations on the following 5 variables.
percentage weight in clinkers of 3CaO.Al2O3
percentage weight in clinkers of 3CaO.SiO2
percentage weight in clinkers of 4CaO.Al2O3.Fe2O3
percentage weight in clinkers of 2CaO.SiO2
heat evolved (calories/gram)
cement.miss is taken from an example in Little & Rubin's book
on Statistical Analysis with Missing Data (2002), pp.~154, for
demonstrating estimation of multivariate means and variances when
the missing data pattern is monotone. These are indicated by
cement.miss. See the examples section of
monomvn for a re-working of the example from the textbook
Woods, H., Steinour, H. H. and Starke, H. R. (1932) Effect of composition of Portland cement on heat evolved during hardening. Industrial Engineering and Chemistry, 24, 1207–1214.
Davison, A. C. (2003) Statistical Models. Cambridge University Press. Page 355.
Draper, N.R. and Smith, H. (1998) Applied Regression Analysis. Wiley. Page 630.
Roderick J.A. Little and Donald B. Rubin (2002). Statistical Analysis with Missing Data, Second Edition. Wilely. Page 154.
monomvn – Several other R packages also include
this data set
Loading required package: pls Attaching package: 'pls' The following object is masked from 'package:stats': loadings Loading required package: lars Loaded lars 1.2 Loading required package: MASS Call: lm(formula = y ~ x1 + x2 + x3 + x4, data = cement) Coefficients: (Intercept) x1 x2 x3 x4 62.4054 1.5511 0.5102 0.1019 -0.1441
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