Hello R-team
I´ve got a question concerning the hierarchical partitioning function. If the
variables of a model fitted with glm (binomial)show a high joint effect, does
this necessarily only mean, that these variables are highly correlated and
therefor the model fitting was not optimal, or can it also be, that a high joint
contribution means, that the relevant variables only show there full effects on
the response Variable in combination with other parameters in the model?
Many thanks
Christian Jones
XXL-Speicher, PC-Virenschutz, Spartarife & mehr: Nur im WEB.DE Club!
Jetzt gratis testen! *http://freemail.web.de/home/landingpad/?mc=021130*
[http://freemail.web.de/home/landingpad/?mc=021130]
[[alternative HTML version deleted]]
