CorMat {plsRglm} | R Documentation |
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)
[Package plsRglm version 1.5.1 Index]