# pseudo-R squared and multicollinearity checks with beta regression

I am using the package betareg (R software). When I use summary() to know the estimated model, some statistics are displayed. Among these statistics, I have got a pseudo-R squared. However, there is many pseudo R-squareds. Do you know if it is adjusted McFadden's, Efron's, or Cox and Snell's one or an other one?

Moreover, how may I check for multicollinearity using betaregression? Variance inflation factors are not easily calculable, thus I have used first Pearson product-moment correlation coefficients and the condition number (the highest condition index of the correlation matrix). Condition number was 300, above the convention 30 threshold. Thus I standardized two variables that had high condition indices and the condition number was then 5, below the 30 threshold. Should I use standardized variables in my beta regression?