I am wanting to fit AR(p) models to column data for a series of matrices I have. Rather than trying to compute the AR models "per column" I was hoping to be able to do this per matrix (i.e. one AR model for each column in said matrix). However, when i attempt this, if there is just one "NA" value in any of the columns, the program refuses to compute AR models for any of the columns.(I am using na.action=na.omit)
Is there a way I can force the calculation to provide AR models for complete columns, or alternatively, a better way to deal with NA's to provide an AR model, (eg via interpolation?) despite some missing values? I hope this makes some sense, thanks in advance, Laura ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
