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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 2 weeks ago
plsRglm 0.7.9 1 year 34 weeks ago
plsRglm 0.7.6 2 years 21 weeks ago
plsRglm 0.7.4 3 years 2 weeks ago
plsRglm 0.7.2 3 years 2 weeks ago
plsRglm 0.7.0 3 years 3 weeks ago
plsRglm 0.6.5 3 years 14 weeks ago
plsRglm 0.6.3 3 years 15 weeks ago
plsRglm 0.5.0 3 years 19 weeks ago
plsRglm 0.3.3 3 years 28 weeks ago
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