search for: ystd

Dear all, After a thorough research, I still find myself unable to find a function that does linear regression of 2 vectors of data using the "total least squares", also called "orthogonal regression" (see : http://en.wikipedia.org/wiki/Total_least_squares) instead of the "ordinary least squares" method. Indeed, the "lm" function has a

...o's trying R. I am a little bit lost for graphics. What is the simplest way for plotting y as a function of x with one symbol (line or dot) for each level of a class variable z (for SAS langage= plot x*y=z). Can I add vertical bars for standard deviation stored in a separate variable (say ystd). Finally, is it possible to do all this with xyplot function arranging plots according to A and B factor: xyplot(y~x|A*B) with as many plots and symbol as there is levels in the z variable for each panel? Thanks for the help. Chris -- ___________________________________________________ Chris...

...s, jd, vp, ne, nx, nlam, flmin, ulam, thresh, isd, lmu = integer(1), a0 = double (nlam), ca = double(nx * nlam), ia = integer(nx), nin = integer(nlam), rsq = d ouble(nlam), alm = double(nlam), nlp = integer(1), jerr = integer(1), PACK AGE = "glmnet") 2: glmnet(xstd$sdat, ystd$sdat, family = c("gaussian"), lambda = lambda, stan dardize = FALSE, type = c("naive")) 3: sl_cv.glmnet(Xnew, ynew, K = 10, fit_all$lambda) aborting ... Thanks again! Dan Kamalic Director of Systems Analysis / Administration Boston University Department of Biomedical Eng...