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...11 observations you can only estimate 11 linearly independent regression coefficients (at best). That's what you got (intercept + first 10 variables). How many did you expect to get estimates for? In summary: no bug, lm is working as advertised. > -----Original Message----- > From: r@marksmucker.com [mailto:r@marksmucker.com] > Sent: Thursday, 23 November 2000 6:29 > To: r-devel@stat.math.ethz.ch > Cc: R-bugs@biostat.ku.dk > Subject: [Rd] lm() appears to fail with large number of variables > (PR#744) > > > Full_Name: Mark Smucker > Version: 1.1.1 > OS: Win...

Full_Name: Mark Smucker Version: 1.1.1 OS: Windows NT Submission from: (NULL) (63.91.145.254) Hi, I have a data frame with 11 observations and 603 variables. When I call, willRaw.fit <- lm( performance ~ ., data=willRaw ) lm() runs without problems, but computes coefficients for only the first 10 variables. The remaining variables get a coefficient of NA. There are no NA values in

Full_Name: Mark Smucker Version: 1.0.1 OS: Windows NT 4 sp 6 Submission from: (NULL) (216.122.46.200) I'm trying to read in a large matrix (800 x 800 or bigger) and R prints an error telling me that my rows are not all the same length. I've double checked the text file using gawk and it tells me that they are all the same. When I pair it down to 247 x 247, then it works, but not when

...en in 1.1.0-patched (2000-August-7) From: Prof Brian D Ripley <ripley@stats.ox.ac.uk> Date: Mon, 7 Aug 2000 22:41:50 +0100 (BST) --We've fixed the predict() problem, but need to make coef.lm and coef.aov --consistent * PR# 649 * Subject: Unable to read.table with > 256? columns From: r@marksmucker.com Date: Thu, 31 Aug 2000 07:28:02 +0200 (MET DST) --Unable to reproduce from information supplied --(and there is no 256 col limit) * PR# 693 * Subject: Bug report From: "Amaratunga, Rohith" <Rohith.Amaratunga@dsto.defence.gov.au> Date: Thu, 12 Oct 2000 14:08:31 +1100 --grid pr...