I want to create natural cubic spline on my predictors and fit them to a linear
model. The DF and Degree of all the splines are the same. I noticed that I
can setup the lm() formula as y~ns(x1, df=5) + ns(x2, df=5).
My problem is that I have a huge number of predictors (hundreds). ns however
seems to take only a single set of values for creating the splines. Is there
an elegant way to handle this?
ThanksVijay
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