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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 20 weeks ago
plsRglm 0.7.9 2 years 1 day ago
plsRglm 0.7.6 2 years 39 weeks ago
plsRglm 0.7.4 3 years 20 weeks ago
plsRglm 0.7.2 3 years 20 weeks ago
plsRglm 0.7.0 3 years 21 weeks ago
plsRglm 0.6.5 3 years 32 weeks ago
plsRglm 0.6.3 3 years 33 weeks ago
plsRglm 0.5.0 3 years 37 weeks ago
plsRglm 0.3.3 3 years 46 weeks ago
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