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

Source

M. Tenenhaus. (1998). La regression PLS, Theorie et pratique. Editions Technip, Paris.

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 ...