Re: [R] lm Regression takes 24+ GB RAM - Error message

2013-03-06 Thread Jonas125
Length(Datasplit) = 7100 I did a regression for Datasplit[[1]] and the calculated columns --> the object size is 70 MB. Quite large Assuming that R cannot handle inf values in regressions (didn't have the time to google it) How can I avoid the calculation of infinite values? Like "If the deno

Re: [R] lm Regression takes 24+ GB RAM - Error message

2013-03-06 Thread Jonas125
The datatable (and the split obviously) only contain characters and numeric data. I found that 4 regression in a row work if I don't use the calculated columns as variables but 2 of the original columns. RAM usage stays below 3GB! --> Why does R has such problems with the calculated columns? Thei

[R] lm Regression takes 24+ GB RAM - Error message

2013-03-06 Thread Jonas125
Hello, I am a rather unexperienced r-user (learned the language 1 month ago) and run into the following problem using a local computer with 6 cores & 24 GB RAM and R 2.15 64-bit. I didn't install any additional packages 1. Via the read.table command I load a data table (with different data types)