The famous Cornell dataset. A mixture experiment on X1
, X2
,
X3
, X4
, X5
, X6
and X7
to analyse octane
degree (Y
) in gazoline.
A data frame with 12 observations on the following 8 variables.
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
a numeric vector
response value: a numeric vector
M. Tenenhaus. (1998). La regression PLS, Theorie et pratique. Editions Technip, Paris.
N. Kettaneh-Wold. Analysis of mixture data with partial least squares. (1992). Chemometrics and Intelligent Laboratory Systems, 14(1):57-69.
#> '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 ...