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2005 Apr 04
2
locfit and memory allocation
...y). The total data is 130 cols by 5000 rows The first 129 cols are response variables, the 130th is the parameter The function fits a local regression between the 129 variables in the ith row of m[ ] to the 129 variables in 5000 rows after m was fed into 130 different vectors called Var1, .....Var129, and PARAMETER. array <- scan(("DataFile"),nlines=5000) m<-matrix(array,ncol=130,byrow=T) for (i in 1:200) { result<- function(m[i,c(1,....,129)],PARAMETER,cbind(Var1,...,Var129)seq(1,len=50 00),F) } Any ideas on how to avoid this memory allocation problem would be grea...