In theory, for my purposes, these different ranges shouldn't matter all that much, but what I'm doing is highly speculative, so theory can be quite wrong. So, what I'm looking to do is shift them all such that they all have roughly the same range. A simple approach to that was to take the mean of the variable with the highest range (the one that varies from 6K to 200K), and multiply all the others by roughly that mean. It wasn't exactly that mean, as any that ranged from 10 to 30, might be multiplied by a tenth of that mean, while ones that were varying from 0 to 1 would be multiplied by the mean, but the idea was to exaggerate the variability in the variables with a smaller range.

What I'm looking for is alternate transformations that would retain the variability within each variable, but scale it up to the magnitude of the largest of the variables. Any suggestions? ]]>