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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 36 weeks ago
plsRglm 0.7.9 2 years 16 weeks ago
plsRglm 0.7.6 3 years 4 weeks ago
plsRglm 0.7.4 3 years 36 weeks ago
plsRglm 0.7.2 3 years 37 weeks ago
plsRglm 0.7.0 3 years 38 weeks ago
plsRglm 0.6.5 3 years 48 weeks ago
plsRglm 0.6.3 3 years 49 weeks ago
plsRglm 0.5.0 4 years 1 week ago
plsRglm 0.3.3 4 years 11 weeks ago
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