I am trying to fit data using scipy.odr in a Jupyter notebook, but I keep getting an AttributeError. The relevant code is below,

from scipy.odr import *

def linear(U_0, x):
    return U_0[0]*x + U_0[1]

linear_model = Model(linear)

quadratic_data = RealData(angle_squared, flattened_velocity, sx=angle_error_squared, sy=flattened_velocity_error)
cubic_data = RealData(angle_cubed, flattened_velocity, sx=angle_error_cubed, sy=flattened_velocity_error)

quadratic_odr = ODR(quadratic_data, linear, beta0=[1,0])
cubic_odr = ODR(cubic_data, linear, beat0=[1,0])

quadratic_output = quadratic_odr.run()
cubic_output = cubic_odr.run()

quadratic_output.pprint()

When I try and run my code, the error below returns:

AttributeError                            Traceback (most recent call last)
Cell In[25], line 13
     10 quadratic_data = RealData(angle_squared, flattened_velocity, sx=angle_error_squared, sy=flattened_velocity_error)
     11 cubic_data = RealData(angle_cubed, flattened_velocity, sx=angle_error_cubed, sy=flattened_velocity_error)
---> 13 quadratic_odr = ODR(quadratic_data, linear, beta0=[1,0])
     14 cubic_odr = ODR(cubic_data, linear, beat0=[1,0])
     16 quadratic_output = quadratic_odr.SO.run()

File ~/.local/lib/python3.12/site-packages/scipy/odr/_odrpack.py:789, in ODR.__init__(self, data, model, beta0, delta0, ifixb, ifixx, job, iprint, errfile, rptfile, ndigit, taufac, sstol, partol, maxit, stpb, stpd, sclb, scld, work, iwork, overwrite)
    785 self.iwork = _conv(iwork)
    787 self.output = None
--> 789 self._check()

File ~/.local/lib/python3.12/site-packages/scipy/odr/_odrpack.py:800, in ODR._check(self)
    798 if isinstance(self.data.y, np.ndarray):
    799     y_s = list(self.data.y.shape)
--> 800     if self.model.implicit:
    801         raise OdrError("an implicit model cannot use response data")
    802 else:
    803     # implicit model with q == self.data.y

AttributeError: 'function' object has no attribute 'implicit'

I have no idea how to begin fixing this, and from what I can tell this error comes from the module itself and not the code I've written. If anyone could give any insight that would be great, thanks!