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Picking up an ancient thread (from Oct 2007), I have a somewhat more complex problem than given in Simon Wood's example below. My full model has more than two smooths as well as factor variables as in this simplified example: b <- gam(y~fv1+s(x1)+s(x2)+s(x3)) Judging from Simon's example, my guess is to fit reduced models to get components of deviance as follows: b1 <- gam(y~s(x1)+s(x2)+s(x3),sp=b$sp) b2 <- gam(y~fv1+s(x2)+s(x3),sp=b$sp[-1]) b3 <- gam(y~fv1+s(x1)+s(x3),sp=b$sp[-2]) b4 <- gam(y~fv1+s(x1)+s(x2),sp=b$s...

Full_Name: Ricardo Luiz de Andrade Abrantes Version: 2.1.1 OS: Debian Linux, kernel 2.6.8 Submission from: (NULL) (201.6.83.153) The problem can be well explained with the following example: Suppose I made a program in fortran, and a C interfacece to it. Now I want to use this C interface in R to call my fortran program. Then I modified my C file to deal with SEXPs and compile it as a shared

We are having problems building R on Red Hat Linux 6.0/Sparc. R compiles with no problem but then it fails "make tests". Specifically, the line eigen(cbind(-1,c(1:2,0),0:2)) # complex values causes a segmentation fault. Previous versions of Red Hat Linux did not give this problem. The eigen() function is one of the rare cases in the base library where Fortran code is called via the

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