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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 2 years 11 weeks ago
plsRglm 0.7.9 2 years 43 weeks ago
plsRglm 0.7.6 3 years 31 weeks ago
plsRglm 0.7.4 4 years 11 weeks ago
plsRglm 0.7.2 4 years 12 weeks ago
plsRglm 0.7.0 4 years 13 weeks ago
plsRglm 0.6.5 4 years 23 weeks ago
plsRglm 0.6.3 4 years 24 weeks ago
plsRglm 0.5.0 4 years 29 weeks ago
plsRglm 0.3.3 4 years 38 weeks ago
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