I have a dataset of 30 social variables such as Facebook Likes, Posts, Comments, etc. I would like to see if these variables predict Website Views.
MY problem is I only have 3 months of data- or 3 data points. Thus I have a 3 by 30 dataset. My question is, how do I model with such few data points but lots of variables?
In addition, I would love a resource that walks through regression in R. My data does not even remotely look linear, so I don't know what to do next. Suggestions?
Best Answer
Yes, as Nick mentions, it is definitely a stretch for using models with assumptions. If you just want to predict, I would suggest that you use nearest neighbor method as a non-parametric method for prediction.
If you have little more points, you can use partial least squares (PLS) if more variables than data points.
As pointed out by others, three data points is too few for developing a regression model. I would suggest to collect at least 20 data points to run a regression model.