I have build a model but want to then manipulate the coefficients in some way.
I can extract the coefficients and do the changes I need, but how do I then put these new coefficients back in the model so I can use the predict function? my_model <- lm(x ~ . , data=my_data) my_scores <- predict(my_model, my_data) my_coeffs <- coef(my_model) ## here we manipulate my_coeffs ## and then want to set the my_model ## coefficients to the new values so we ## predict using the new values my_model.coefs <- my_coeffs ?? how is this done? ?? so that this will work with the new coefficients my_scores_new <- predict(my_model, my_data) Any code snippets would be appreciated very much. -- View this message in context: http://www.nabble.com/modifying-model-coefficients-tp25952879p25952879.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.