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May 5, 2017 1:58 AM
(549 views)

I can tell that this question was posted back in 2012, but never answered, so here it goes again:

Is there a way to plot confidence and prediction intervals for **orthogonal** regression in the Bivariate platform. Also I would like to save the interval equations. Both options exist for "Fit line", i.e. OLS linear regression.

If the option does not exist, I would like to request it be implementet.

BR

Jesper

Jesper

4 REPLIES

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Jul 13, 2017 2:22 AM
(246 views)

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Jul 13, 2017 3:08 AM
(242 views)

With JMP Pro, you could try bootstrapping:

```
NamesDefaultToHere(1);
// Sample data
dt = NewTable("Orthogonal Regression",
NewColumn("x1", Formula(RandomUniform(-1, 1))),
NewColumn("x2", Formula(RandomUniform(-1, 1))),
AddRows(50)
);
// Fit orthogonal
fo = dt << Bivariate(Y( :x2 ), X( :x1 ), Fit Orthogonal( Equal Variances ));
// Bootstrap fitted parameters
dt2 = Report(fo)[TableBox(2)] << Bootstrap(1000);
// Look at the result
dt2 << Distribution(
Continuous Distribution( Column( :Intercept ) ),
Continuous Distribution( Column( :Slope ) ),
SendToReport(
Dispatch( {"Intercept"}, "Quantiles", OutlineBox, {Close( 1 )} ),
Dispatch( {"Intercept"}, "Summary Statistics", OutlineBox, {Close( 1 )} ),
Dispatch( {"Slope"}, "Quantiles", OutlineBox, {Close( 1 )} ),
Dispatch( {"Slope"}, "Summary Statistics", OutlineBox, {Close( 1 )} )
)
);
```

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2 weeks ago
(138 views)

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Thursday
(52 views)

Hi Ian,

Thank you for this JSL script. However, the script only boostraps estimates of slope and intercept. I was curious how would I then go about estimating prediction interval in deming regression using this output? I would appreciate any assistance.

Thank you