aze_compl: As aze without missing values

In plsRglm: Partial Least Squares Regression for Generalized Linear Models

As aze without missing values

Description

This is a single imputation of the aze dataset which was collected on patients carrying a colon adenocarcinoma. It has 104 observations on 33 binary qualitative explanatory variables and one response variable y representing the cancer stage according to the to Astler-Coller classification (Astler and Coller, 1954). A microsattelite is a non-coding DNA sequence.

Format

A data frame with 104 observations on the following 34 variables.

y

the response: a binary vector (Astler-Coller score).

D2S138

a binary vector that indicates whether this microsatellite is altered or not.

D18S61

a binary vector that indicates whether this microsatellite is altered or not.

D16S422

a binary vector that indicates whether this microsatellite is altered or not.

D17S794

a binary vector that indicates whether this microsatellite is altered or not.

D6S264

a binary vector that indicates whether this microsatellite is altered or not.

D14S65

a binary vector that indicates whether this microsatellite is altered or not.

D18S53

a binary vector that indicates whether this microsatellite is altered or not.

D17S790

a binary vector that indicates whether this microsatellite is altered or not.

D1S225

a binary vector that indicates whether this microsatellite is altered or not.

D3S1282

a binary vector that indicates whether this microsatellite is altered or not.

D9S179

a binary vector that indicates whether this microsatellite is altered or not.

D5S430

a binary vector that indicates whether this microsatellite is altered or not.

D8S283

a binary vector that indicates whether this microsatellite is altered or not.

D11S916

a binary vector that indicates whether this microsatellite is altered or not.

D2S159

a binary vector that indicates whether this microsatellite is altered or not.

D16S408

a binary vector that indicates whether this microsatellite is altered or not.

D5S346

a binary vector that indicates whether this microsatellite is altered or not.

D10S191

a binary vector that indicates whether this microsatellite is altered or not.

D13S173

a binary vector that indicates whether this microsatellite is altered or not.

D6S275

a binary vector that indicates whether this microsatellite is altered or not.

D15S127

a binary vector that indicates whether this microsatellite is altered or not.

D1S305

a binary vector that indicates whether this microsatellite is altered or not.

D4S394

a binary vector that indicates whether this microsatellite is altered or not.

D20S107

a binary vector that indicates whether this microsatellite is altered or not.

D1S197

a binary vector that indicates whether this microsatellite is altered or not.

D1S207

a binary vector that indicates whether this microsatellite is altered or not.

D10S192

a binary vector that indicates whether this microsatellite is altered or not.

D3S1283

a binary vector that indicates whether this microsatellite is altered or not.

D4S414

a binary vector that indicates whether this microsatellite is altered or not.

D8S264

a binary vector that indicates whether this microsatellite is altered or not.

D22S928

a binary vector that indicates whether this microsatellite is altered or not.

TP53

a binary vector that indicates whether this microsatellite is altered or not.

D9S171

a binary vector that indicates whether this microsatellite is altered or not.

Source

Weber et al. (2007). Allelotyping analyzes of synchronous primary and metastasis CIN colon cancers identified different subtypes. Int J Cancer, 120(3), pages 524-32.

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 Société Française de Statistique, 151(2), pages 1-18.

Examples

data(aze_compl)
str(aze_compl)

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