--- Eric MacAdie <[EMAIL PROTECTED]> wrote: > Phil Steitz wrote: > > >Kim, > > > >Sorry for the response latency. Thanks in advance > for any contributions that you can make to [math]. > One thing to keep in mind is that we are trying to > focus on commonly used stuff. So, e.g. a basic GLM > package would be more interesting than RMA. Of > course, if all is available.... It would be great > to start by making the needed improvements / > extensions to the current RealMatrix implementation > to support a numerically sound multivariate > regression / ANOVA package. I would be less > concerned about fitting the current architecture > than laying the groundwork for good extensions. We > need to maintain backward compatability, but we can > certainly extend as necessary. > > > > > What do "RMA" and "GLM" stand for?
RMA: Reduced Major Axis regression. Most people just use least squares regresion (model 1), but that assumes that the independent variable is estimated with no or a relative low degree of error, which is often not the case in biological sciences. Model 2 regressions incorporate that variation as well. There are three different approches for model 2 regressions, of which RMA is the most widely applicable as the two variables are allowed to be of a different magnitude. Major Axis (MA) regression rewuires that both vairables have the same magitude. Generally, the methods try to minimize the variation in both directions, not only in the Y-axis direction. GLM: General Linear Model the superclass of all regressions, (M)AN(C)OVA's and combination of those. Cheers, Kim __________________________________ Do you Yahoo!? New and Improved Yahoo! Mail - Send 10MB messages! http://promotions.yahoo.com/new_mail --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]