Try transforming them as well, likely with a log if they are positive and have heavily skewed values.
Can you suck the data into R and paste in the results of summary(x)? (assuming you put the data into the variable x). This should look something like: > summary(x) > v1 v2 v3 > Min. :-3.41939 Min. :0.0002538 Min. :1.188 > 1st Qu.:-0.66695 1st Qu.:0.3122501 1st Qu.:3.321 > Median :-0.07277 Median :0.6830144 Median :3.972 > Mean :-0.05619 Mean :1.0286261 Mean :4.010 > 3rd Qu.: 0.56784 3rd Qu.:1.4619058 3rd Qu.:4.712 > Max. : 2.74271 Max. :7.7754864 Max. :7.252 > > On Thu, Sep 6, 2012 at 4:58 PM, Diederik van Liere < [email protected]> wrote: > > > - My (6) predictor variables are all numeric; some of the variables range > > from 0...5, others range from 0...1,000,000. > Have you tried rescaling your predictor variables so they have the same > range? > > Diederik
