[R] Possibly more coefficients?

Hi there, I have this code: Prepared_Data <- na.omit(read.csv("Prepared_Data.csv", header=TRUE)) pd <- Prepared_Data[,-3] ## data minus response variable lev <- sapply(pd,function(x) length(unique(x))) ## total parameters for n variables par(las=1,bty="l") plot(cumprod(lev),log="y") library(M

[R] (no subject)

Hi there, I have this code: Prepared_Data <- na.omit(read.csv("Prepared_Data.csv", header=TRUE)) pd <- Prepared_Data[,-3] ## data minus response variable ## how many levels per variable? lev <- sapply(pd,function(x) length(unique(x))) ## total parameters for n variables par(las=1,bty="l") plot

[R] Data handling/optimum glm method.

Hi there, I am trying to fit a generalised linear model to some loan application and default data. The purpose of this is to eventually work out the probability an applicant will default. However, R seems to crash or die when I run "glm" on anything greater than a 5-way saturated model for my