The famous Cornell dataset. A mixture experiment on X1, X2,
X3, X4, X5, X6 and X7 to analyse octane
degree (Y) in gazoline.
Format
A data frame with 12 observations on the following 8 variables.
- X1
a numeric vector
- X2
a numeric vector
- X3
a numeric vector
- X4
a numeric vector
- X5
a numeric vector
- X6
a numeric vector
- X7
a numeric vector
- Y
response value: a numeric vector
References
N. Kettaneh-Wold. Analysis of mixture data with partial least squares. (1992). Chemometrics and Intelligent Laboratory Systems, 14(1):57-69.
Examples
data(Cornell)
str(Cornell)
#> 'data.frame': 12 obs. of 8 variables:
#> $ X1: num 0 0 0 0 0 0 0.17 0.17 0.17 0.17 ...
#> $ X2: num 0.23 0.1 0 0.49 0 0.62 0.27 0.19 0.21 0.15 ...
#> $ X3: num 0 0 0 0 0 0 0.1 0.1 0.1 0.1 ...
#> $ X4: num 0 0 0.1 0 0.62 0 0.38 0.38 0.38 0.38 ...
#> $ X5: num 0 0.12 0.12 0.12 0.12 0 0 0.02 0 0.02 ...
#> $ X6: num 0.74 0.74 0.74 0.37 0.18 0.37 0 0.06 0.06 0.1 ...
#> $ X7: num 0.03 0.04 0.04 0.02 0.08 0.01 0.08 0.08 0.08 0.08 ...
#> $ Y : num 98.7 97.8 96.6 92 86.6 91.2 81.9 83.1 82.4 83.2 ...