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Unlike L1 (lasso) regression or elastic net (mixture of L1 and L2), L2 norm regression (ridge regression) does not select variables. Selection of variables would not work properly, and it's unclear why you would want to omit "apparently" weak variables anyway. Frank maths123 wrote > I have a .txt file containing a dataset with 500 samples. There are 10 > variables. > > I am trying to perform variable selection using the ridge regression > method but I am very confused. > > I have input the following: > diabetes10<-read.table("diabetes...

I have a set of data with 2 columns: time, size. There are 20 sets of data. The data is looking at whether the size of a seed affects the time it takes to germinate. How do I then create a numerical variable called 'order' with values 1 to 20 in order to plot a graph or order against time? -- View this message in context: http://r.789695.n4.nabble.com/Order-function-tp4651022.html