![]() parallel splines grid stats graphics grDevices utils datasets methods base LC_NAME=C LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=C LC_IDENTIFICATION=C LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=C LC_COLLATE=C LC_MONETARY=C LC_MESSAGES=C LC_PAPER=C Results of sessionInfo(): R version 3.0.1 () How do I get train(.,method="enet") to run using the exact same settings asenet()`?ĭata for reproducibility, sesionInfo, etc. Note that a few hundred of the variables are dummied out from clinical diagnoses and thus are binary with a low proportion of 1's. I've checked the full dataset in various ways, including findLinearCombos. Note that any collinearity in the above example is just a result of subsetting down for a reproducible example (1,000 rows vs. Some of the columns of x have zero variance Model fit failed for Fold10.Rep5: lambda=0, fraction=0.01 Error in enet(as.matrix(trainX), trainY, lambda = lmbda) : I'd like to get train working so that I can use it to evaluate model parameters. I can get it to run directly but it fails when I try to run the same parameters using train in the caret package. Starting with LASSO and going from there. I hope any of you can help me in doing that or just tell me clearly if this package is not free to be used as the other packages in R.I'm trying to run an elastic net. Please enter your activation code (RET or 0 to exit):īut to do that in the link below I need Site reference from my organization and I don´t know from where I can get this information. # Now I have the next message when I should provide the activation code that should be sent to my email # I searched the internet to solve this problem and it was mentioned that the license should be activated by the command License error: No license for product (-1) # Now if I run the model, I get the following error I couldn´t find Site reference: ? as I found that for the University of Zurich I have tried hard to install the package of ASREML-R.Īlthough " I am a Ph.D. I see that most of you are more or less familiar with the " ASREML-R". ![]()
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