Skip to Content

plsRglm

Partial least squares Regression for generalized linear models
Frederic Bertrand <frederic.bertrand@math.unistra.fr>, Nicolas Meyer <Nicolas.Meyer@nmeyer@unistra.fr>, Myriam Maumy-Bertrand <myriam.maumy-bertrand@math.unistra.fr>.
GPL-3
This package provides Partial least squares Regression for (weighted) generalized linear models and kfold crossvalidation of such models using various criteria. It allows for missing data in the eXplanatory variables. Bootstrap confidence intervals constructions are also available.
Versions
Package Version Released
plsRglm 0.8.2 1 year 50 weeks ago
plsRglm 0.7.9 2 years 30 weeks ago
plsRglm 0.7.6 3 years 18 weeks ago
plsRglm 0.7.4 3 years 50 weeks ago
plsRglm 0.7.2 3 years 51 weeks ago
plsRglm 0.7.0 4 years 2 days ago
plsRglm 0.6.5 4 years 10 weeks ago
plsRglm 0.6.3 4 years 11 weeks ago
plsRglm 0.5.0 4 years 16 weeks ago
plsRglm 0.3.3 4 years 25 weeks ago
0
Your rating: None
0
Your rating: None