QuantValues: Report quantile values
In Blossom: Statistical Comparisons with Distance-Function Based Permutation Tests

Description Usage Arguments Value Examples

Reports all quantile regression estimates if all.quants was set to TRUE.

1	QuantValues(x)

`x`	An object of a suitable class - at present only `"LADObj"`.

A matrix of all possible quantile regression estimates.

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Out <- lad(lnlctm~widrat,data = lahontan,all.quants = TRUE)
summary(Out)
AllQuants <- QuantValues(Out)

	All Quantile Regression 

Call: 
lad
	lnlctm ~ widrat
	lahontan
	TRUE 


Specification of Analysis:
	Number of Observations: 71 
	    Dependent Variable: lnlctm 
	  Number of Parameters: 2 
	   Number of Solutions: 77 
	   Solution Result Was: Successful


Output can be obtained using QuantValues()

Columns are Quantile, Objective Function Solution, Predicted Y at X-Bar,
 followed by estimates of coefficients for independent variables. 
 Each row describes an estimated conditional quantile function.