

Hi There,
I have this matlab function
[fitobject,gof,output] = fit(x,y,poly1)
This function is calculating many thing in back ground and I want few of the things in the scilab, i cannot do it by myself in scilab.
Can any body help me out
When I am evaluating this function [fitobject,gof,output] = fit(x,y,poly1) in Matlab then the folloing comeup (Please ignore the data and values)
fitobject =
Linear model Poly1:
fitobject(x) = p1*x + p2
Coefficients (with 95% confidence bounds):
p1 = -4.064 (-4.648, -3.479)
p2 = 46.9 (40.18, 53.62)
gof =
sse: 0.1796
rsquare: 0.9797
dfe: 6
adjrsquare: 0.9763
rmse: 0.1730
output =
numobs: 8
numparam: 2
residuals: [8x1 double]
Jacobian: [8x2 double]
exitflag: 1
algorithm: 'QR factorization and solve'
iterations: 1
So out of it I need the following in Scilab
Linear model Poly1:
fitobject(x) = p1*x + p2
Coefficients (with 95% confidence bounds):
p1 = -4.064 (-4.648, -3.479)
p2 = 46.9 (40.18, 53.62)
and
rsquare: 0.9797
and
ci=confint(fitobject,0.95)
Please guide me for this.
Regards
Scilab
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