Hello, I am looking for an R package that uses nonlinear least squares to fit ARIMA models. Initially I was using tseries but according to the documentation for the Arima function in tseries: *The exact likelihood is computed via a state-space representation of the ARIMA process, and the innovations and their variance found by a Kalman filter. * Are there any alternative commands that use nonlinear least squares? [[alternative HTML version deleted]]