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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 15 weeks ago
plsRglm 0.7.9 1 year 48 weeks ago
plsRglm 0.7.6 2 years 35 weeks ago
plsRglm 0.7.4 3 years 15 weeks ago
plsRglm 0.7.2 3 years 16 weeks ago
plsRglm 0.7.0 3 years 17 weeks ago
plsRglm 0.6.5 3 years 27 weeks ago
plsRglm 0.6.3 3 years 28 weeks ago
plsRglm 0.5.0 3 years 33 weeks ago
plsRglm 0.3.3 3 years 42 weeks ago
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