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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 29 weeks ago
plsRglm 0.7.9 2 years 9 weeks ago
plsRglm 0.7.6 2 years 48 weeks ago
plsRglm 0.7.4 3 years 29 weeks ago
plsRglm 0.7.2 3 years 29 weeks ago
plsRglm 0.7.0 3 years 30 weeks ago
plsRglm 0.6.5 3 years 41 weeks ago
plsRglm 0.6.3 3 years 42 weeks ago
plsRglm 0.5.0 3 years 46 weeks ago
plsRglm 0.3.3 4 years 3 weeks ago
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