Marc A. Leith wrote:

Quoting Mike Mascari <[EMAIL PROTECTED]>:


Would Joe Conway's PL/R procedural language be any help here? I'd guess there's an R package to fit the bill, but then again I'm only on page 30 of Modern Applied Statistics in S-Plus. ;-)

For a turnkey modeling solution, you need more than simple stat functions. These
solutions automatically transform or 'bucketize' the data and then analyze the
covariance between the score variables and the known result.



I'm obviously not in any position to define what is needed here. I only had business statistics in college as a requirement for an economics degree many years ago. However, I will say that you may be underestimating R's capabilities. It includes linear and non-linear regression models, neural networks, time-series analysis, and a host (and I mean 100's) of other models I have yet to fathom. I'd humbly speculate that the core developers, include the chairman of the statistics department at Oxford, would take issue with its characterization as "simple stat functions". But what do I know... :-)


Mike Mascari




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