library(isdals)
data(fev)
model <- lm(FEV ~ Ht + I(Ht^2) + Gender + Smoke + Age,
data=fev)
corr2 <- cov2cor(vcov(model)) # Correlation matrix
plotcorr(corr2, type="lower", diag=TRUE, , col=myblue)
par(new=TRUE) # Keep 1st plot and add numbers
plotcorr(corr2, type="upper", diag=TRUE, numbers=TRUE, cex=1.6)