Description Usage Format Details Source References See Also Examples

Heat evolved in setting of cement, as a function of its chemical composition.

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A `data.frame`

with 13 observations on the following 5 variables.

- x1
percentage weight in clinkers of 3CaO.Al2O3

- x2
percentage weight in clinkers of 3CaO.SiO2

- x3
percentage weight in clinkers of 4CaO.Al2O3.Fe2O3

- x4
percentage weight in clinkers of 2CaO.SiO2

- y
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
`NA`

in `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.

http://bobby.gramacy.com/r_packages/monomvn

`monomvn`

– Several other **R** packages also include
this data set

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```
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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