[Rpy] how to predict a lm

Hi, I am using rpy2 here is my code for running a LM model = "kw ~ S1+S2+S3+S4+S5+S6+DR+RH+FH+d6h9q45" robjects.globalenv['d6h9q45'] = robjects.FloatVector(df['d6h9q45']) #d6h9q45 robjects.globalenv['kw'] = robjects.FloatVector(df['KW']) robjects.globalenv['S1'] = robjects.FloatVector(df['S1']

[Rpy] How to use DataFrame to run OLS and Predict

Hi, I knw how to create a datarfram in rpy2. e.g. import rpy2 import rpy2.robjects import rpy2.robjects as robjects d = {'a': robjects.IntVector((1,2,3)), 'b': robjects.IntVector((4,5,6))} s = {'b': robjects.IntVector((4,5,6))} dataf = robjects.DataFrame(d) model = "a ~ b" 1) How to run the L