search for: quadratische

...e a warning: variables are collinear in: lda.default(data[train, ], classes[train]) Is there an easy way to recover from this issue within the MASS package? Or how can I tell how severe this issue is at all? I understand that I shouldn't use lda at all with collinear data and should use "quadratische" (squared?) discr. analysis (by Welch) instead. Or is this wrong? Could I do this in R? Thanks four your help, Till Baumg?rtel ________________________________________ Abos online bestellen. Oder Leser werben und Pr?mie aussuchen. http://www.epost.de/aboservice

...d returns and \mu is a number, the postualted return of the investor I've done the following code but it doesn't make what I want it to do. The weights aren't all positive and the \mu isn't reached. What's wrong with my code? Require(quadprog) Dmat<-diag(1,7,7) # muss als quadratische Matrix eingegeben werden Dmat dvec<-matrix(0,7,1) # muss als Spaltenvektor eingegeben werden dvec mu<-0 # (in Mio. €) bvec<-c(1,mu,matrix(0,7,1)) # muss als Spaltenvektor eingegeben werden bvec mu_r<-c(19.7,33.0,0.0,49.7, 82.5, 39.0,11.8) Amat<-matrix(c(matrix(1,1,7),7*mu_r,diag(1,7...