#### -*- R -*-
Fr <- c(68,42,42,30, 37,52,24,43,
	66,50,33,23, 47,55,23,47,
	63,53,29,27, 57,49,19,29)

Temp <- gl(2, 2, 24, labels=c("Low", "High"))
Soft <- gl(3, 8, 24, labels=c("Hard","Medium","Soft"))
M.user <- gl(2, 4, 24, labels=c("N", "Y"))
Brand <- gl(2, 1, 24, labels=c("X", "M"))

detg <- data.frame(Fr,Temp,Soft,M.user,Brand)
detg.m0 <- glm(Fr ~ M.user*Temp*Soft+Brand, family=poisson, data=detg)
summary(detg.m0)

detg.mod <- glm(terms(Fr~M.user*Temp*Soft+Brand*M.user*Temp,keep.order=TRUE),
		family=poisson, data=detg)
summary(detg.mod, correlation=FALSE)# corr.=F:	now (0.62) default
symnum(summary(detg.mod, correlation=TRUE)$corr)

anova(detg.m0, detg.mod)