CorMat: Correlation matrix for simulating plsR datasets

In plsRglm: Partial Least Squares Regression for Generalized Linear Models

Correlation matrix for simulating plsR datasets

Description

A correlation matrix to simulate datasets

Format

A data frame with 17 observations on the following 17 variables.

y

a numeric vector

x11

a numeric vector

x12

a numeric vector

x13

a numeric vector

x21

a numeric vector

x22

a numeric vector

x31

a numeric vector

x32

a numeric vector

x33

a numeric vector

x34

a numeric vector

x41

a numeric vector

x42

a numeric vector

x51

a numeric vector

x61

a numeric vector

x62

a numeric vector

x63

a numeric vector

x64

a numeric vector

Source

Handmade.

References

Nicolas Meyer, Myriam Maumy-Bertrand et Frédéric Bertrand (2010). Comparing the linear and the logistic PLS regression with qualitative predictors: application to allelotyping data. Journal de la Societe Francaise de Statistique, 151(2), pages 1-18. http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/47

Examples

data(CorMat)
str(CorMat)

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