Hi, Subject: Using R for Multiple Regression
I am new to statistic but am interested in applying mathematical models to solve biological problems. I have used a linear model to generate the test data. When using this data I expect R to correctly identify the model but that does not seem to be the case. I am certain that I am doing something wrong but not able to figure it out. Model: Y = m1x1 + m2x2+ m3X3 + c m1=5 m2=6 m3=0 c=2 Model Identified by R using lm(formula = y ~ x1 + x2 + x3) (Intercept) 8.000e+01 x1 1.100e+01 x2 NA x3 NA The data I am using is as follows: y x1 x2 x3 91 1 14 2 102 2 15 5 113 3 16 8 124 4 17 11 135 5 18 14 146 6 19 17 157 7 20 20 168 8 21 23 179 9 22 26 190 10 23 29 Kind regards Dr. Ambikesh Jayal, Department of Information Systems, Computing and Mathematics Room 134 St John's Building Brunel University Uxbridge, Middlesex UB8 3PH, UK Website: http://sites.google.com/site/ambi1999/ [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
