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</svg> Orthogonal Regression via the Reformulation-Linearization Technique

<table>Plot of the standard error of the absolute value of the slope in a bivariate experiment as a function of sample size (<svg height="7.1374998" id="M321" style="vertical-align:-0.10033pt" version="1.1" viewbox="0 0 7.8874998 7.1374998" width="7.8874998" xmlns="http://www.w3.org/2000/svg">
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Advances in Operations Research

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Figure 4

Figure 4: Outlier-Resistant <svg style="vertical-align:-4.5pt;width:24.4625px;" id="M1" height="20.362499" version="1.1" viewBox="0 0 24.4625 20.362499" width="24.4625"  xmlns="http://www.w3.org/2000/svg"    >
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</svg> Orthogonal Regression via the Reformulation-Linearization Technique 

Figure 4 | Outlier-Resistant 
	
		
			
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 Orthogonal Regression via the Reformulation-Linearization Technique 

Advances in Operations Research

Outlier-Resistant 𝐿 𝟏 Orthogonal Regression via the Reformulation-Linearization Technique

Figure 4

Outlier-Resistant Orthogonal Regression via the Reformulation-Linearization Technique