Cornell: Cornell dataset

In plsRglm: Partial Least Squares Regression for Generalized Linear Models

Cornell dataset

Description

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)

plsRglm documentation built on March 31, 2023, 11:10 p.m.