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