You’re using the incorrect X variable name in your call to predict (it should be called the same as the X variable you used when you created the initial model) Although not necessary, its typical to have meanValuesHeatingPower and meanValuesOutsideTemperature as columns in the same dataframe, and then pass that dataframe in to data when creating the model The following works for me:
Before blindly giving the data to the computer, it is a good idea to look at it: Some of the variables have too many values to be useful (at least in your first model): you can remove the name, ticket, cabin and passengerId. You may also want to transform some of the numeric variables (say, … Read more
Box and Cox (1964) suggested a family of transformations designed to reduce nonnormality of the errors in a linear model. In turns out that in doing this, it often reduces non-linearity as well. Here is a nice summary of the original work and all the work that’s been done since: http://www.ime.usp.br/~abe/lista/pdfm9cJKUmFZp.pdf You will notice, however, that the log-likelihood … Read more