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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 3 years 3 weeks ago
plsRglm 0.7.9 3 years 35 weeks ago
plsRglm 0.7.6 4 years 23 weeks ago
plsRglm 0.7.4 5 years 3 weeks ago
plsRglm 0.7.2 5 years 4 weeks ago
plsRglm 0.7.0 5 years 5 weeks ago
plsRglm 0.6.5 5 years 15 weeks ago
plsRglm 0.6.3 5 years 16 weeks ago
plsRglm 0.5.0 5 years 20 weeks ago
plsRglm 0.3.3 5 years 30 weeks ago
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