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CONTOURS OF s_A(beta^0) WHEN beta^0 IS ``NEAR''

b_1 vs. b_2 Sum of Squares Contours for LInear Approximation

square
is location of ``near'' starting value
dot
is location of s_a(beta^0) minimum
x
is location of s(beta) minimum