search for: collinearlity

Dear all, Rank of a matrix depends on which factors? Only on rows or coumns? or both ? If there is a collinearlity in the variables ( columns ) does it effects the rank? > X<-matrix((rnorm(10000)),50) > dim(X) [1] 50 200 > qr(X)$rank [1] 50 > X[,2]<-X[,30] > qr(X)$rank [1] 50 > X[10,]<-X[7,] > qr(X)$rank [1] 49 Thanks Alex [[alternative HTML version deleted]]

...set that I've trimmed down to 302 variables. I've created an mi.info() object on the data, and I've updated the "type" of variable where necessary so that the mi() imputing function uses the most appropriate type of models to estimate imputed values. The data have no collinearlity. I then run the mi function like this: imp = mi(imp.data, info=info2, n.iter=10) where imp.data is my data set of 302 variables and info2 is my modified mi.info object. I get the message as posted above. The message only occurs when working on a variable I have labeled as "ordered-c...