how many parameters does the average fit have when combining multiple variables can the gaussian maximimum likelihood be adjusted? what is the maximum likelihood of fitting multiple data points together what is the maximum likelihood of fit using a variable can a large number of variables be used for fit why can't a gaussian fit work how many variables can you combine for a gaussian fit why do we need a variable fit what does the effect of fitting a large number of variables have on the fit? effects of fitting with a large number of variables how does a fit with a large number of variables work how to fit a variable if it is a variable how to do fit with large number of variables a number of variables that fit to one variable is called if a variable is added to an experimental data set can it be a heuristic why would a gaussian max likelihood be biased by a variable? when calculating max likelihood of a linear fit what is the difference between a normal fit and a fitting fit? how many variables are included in fit why would you be reluctant to fit with a large number of variables in data?