  In this work we study the condition number of the least square matrix
corresponding to scale free networks. We compute a theoretical lower bound of
the condition number which proves that they are ill conditioned. Also, we
analyze several matrices from networks generated with the linear preferential
attachment model showing that it is very difficult to compute the power law
exponent by the least square method due to the severe lost of accuracy expected
from the corresponding condition numbers.
