Running examples in ‘RPPanalyzer-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: calcLinear
> ### Title: Calculates sample concentrations using linear model fit
> ### Aliases: calcLinear
> ### Keywords: manip
> 
> ### ** Examples
> 
> library(RPPanalyzer)
> data(ser.dil.samples)
> 
> predicted.data <- calcLinear(ser.dil.samples,sample.id=c("sample","sample.n"),
+ dilution="dilution")
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
     -161.4     27766.4 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
     -509.2     24691.2 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       8780        3428 

Degrees of freedom: 18 total; 16 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   566.6667    645.3333 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   544.6667    281.3333 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       1423       30352 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   939.4286  25900.5714 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       5829        7942 

Degrees of freedom: 12 total; 10 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   524.7143    866.2857 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        491         416 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   544.8571  22881.1429 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   555.5714  17819.4286 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       7027        4440 

Degrees of freedom: 12 total; 10 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        531         536 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        525         212 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   130.2667  28283.7333 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -127.6667  24730.6667 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       8262        4468 

Degrees of freedom: 18 total; 16 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        481         800 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   461.3333    386.6667 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   70.73333 26308.26667 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       17.2     23404.8 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       7878        3328 

Degrees of freedom: 18 total; 16 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        494         688 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        493         304 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -616.3333  27925.3333 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
      -2011       30860 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       5934        5890 

Degrees of freedom: 12 total; 10 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   463.6667    825.3333 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   461.3333    426.6667 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -1734.429   23379.429 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -1510.143   19801.143 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   437.6667    597.3333 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        478         252 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       2401       23784 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -18.28571 24674.28571 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       5877        5936 

Degrees of freedom: 12 total; 10 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   516.1429    662.8571 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   501.6667    313.3333 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
      -2766       15948 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -1716.333   11349.333 

Degrees of freedom: 18 total; 16 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   428.3333    390.6667 

Degrees of freedom: 18 total; 16 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -2012.667   22490.667 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -460.4286  14547.4286 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       7729        1460 

Degrees of freedom: 12 total; 10 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   479.3333    442.6667 

Degrees of freedom: 18 total; 16 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   48.73333 13252.26667 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   147.2857  10253.7143 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   505.2857    325.7143 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        518         130 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -604.2857  17050.2857 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -125.6667  11450.6667 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       6668        2528 

Degrees of freedom: 12 total; 10 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   482.8571    385.1429 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        517         130 

Degrees of freedom: 12 total; 10 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
      -3065       16124 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
      -2163       12228 

Degrees of freedom: 18 total; 16 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        426         364 

Degrees of freedom: 12 total; 10 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        488         132 

Degrees of freedom: 12 total; 10 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -1120.667   19733.333 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -982.7143  17941.7143 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   472.2857    477.7143 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        484         220 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -286.7143  12269.7143 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -97.66667 10706.66667 

Degrees of freedom: 24 total; 22 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   496.6667    345.3333 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        499         146 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   56.14286 16278.85714 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   38.57143 13891.42857 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       7132        1560 

Degrees of freedom: 12 total; 10 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   498.6667    389.3333 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        436         234 

Degrees of freedom: 12 total; 10 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       3041       20576 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   2781.857   17225.143 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   7080.333    2598.667 

Degrees of freedom: 18 total; 16 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   569.8571    585.1429 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   524.1429    262.8571 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   5731.571   23075.429 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   4566.857   23329.143 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       7873        3108 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       5610        2176 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   621.1429    838.8571 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        590         416 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        485       18752 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
      -1554       14088 

Degrees of freedom: 12 total; 10 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       6414        2850 

Degrees of freedom: 12 total; 10 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   577.3333    442.6667 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        558         162 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   1988.429   21612.571 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   2394.714   16314.286 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       7311        2514 

Degrees of freedom: 18 total; 16 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        621         512 

Degrees of freedom: 24 total; 22 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   1312.571   22787.429 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   783.1429  19166.8571 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   6849.667    1997.333 

Degrees of freedom: 18 total; 16 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   587.3333    530.6667 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        555         212 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   1986.714   24514.286 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   1193.571   25243.429 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       6753        3076 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       4936        1452 

Degrees of freedom: 12 total; 10 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        539         840 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   513.3333    434.6667 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   220.2667  17883.7333 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   672.5714  10627.4286 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       6243        2098 

Degrees of freedom: 12 total; 10 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   544.6667    441.3333 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   539.6667    169.3333 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   3432.429   22540.571 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       2466       20444 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       6897        2714 

Degrees of freedom: 18 total; 16 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        548         652 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   870.6667  14533.3333 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        830       11972 

Degrees of freedom: 24 total; 22 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   542.6667    293.3333 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        615          40 

Degrees of freedom: 12 total; 10 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   131.5714  16667.4286 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   264.7143  12746.2857 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       6427        1770 

Degrees of freedom: 18 total; 16 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   512.3333    365.3333 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        508         148 

Degrees of freedom: 12 total; 10 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   312.2667   9403.7333 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   287.8571   7321.1429 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   528.6667    205.3333 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  546.33333    66.66667 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   131.9333  13233.0667 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       6531        1164 

Degrees of freedom: 12 total; 10 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   527.6667    265.3333 

Degrees of freedom: 18 total; 16 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        117       14552 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        518       11272 

Degrees of freedom: 18 total; 16 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   518.3333    282.6667 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        560          60 

Degrees of freedom: 12 total; 10 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -34.06667 17089.06667 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   117.6667  12485.3333 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   6276.667    1297.333 

Degrees of freedom: 18 total; 16 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   587.6667    285.3333 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  580.66667    45.33333 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        516       10432 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
      446.4      9177.6 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        505         276 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        522         104 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -813.5714  14908.5714 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -416.8571  10678.8571 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        335         496 

Degrees of freedom: 12 total; 10 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        487         156 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   66.71429 14082.28571 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   33.33333 11333.33333 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       7571         670 

Degrees of freedom: 12 total; 10 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   572.6667    353.3333 

Degrees of freedom: 18 total; 16 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -1520.429   18499.429 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
      -1485       16344 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       4436        5152 

Degrees of freedom: 12 total; 10 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        322         900 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        399         532 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   212.9333  11553.0667 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   205.0667   8526.9333 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       7871          72 

Degrees of freedom: 12 total; 10 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   561.4286    348.5714 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   529.8571    201.1429 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -907.8571  17390.8571 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -916.1429  15601.1429 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       8671         448 

Degrees of freedom: 12 total; 10 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       5602        1244 

Degrees of freedom: 12 total; 10 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   571.6667    573.3333 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   571.6667    309.3333 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -1207.429   15035.429 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       -899       11736 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        558         334 

Degrees of freedom: 12 total; 10 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        536         182 

Degrees of freedom: 12 total; 10 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -668.6667  17154.6667 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -993.4286  16043.4286 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   6888.333    2442.667 

Degrees of freedom: 24 total; 22 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   490.3333    778.6667 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   497.5714    459.4286 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -431.7143  10957.7143 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -365.5714   8836.5714 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        519         348 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        515         192 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   139.4286  16004.5714 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   135.2667  13195.7333 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       6824        1876 

Degrees of freedom: 12 total; 10 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        581         504 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   571.6667    250.6667 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -940.3333   6337.3333 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       -626        4552 

Degrees of freedom: 24 total; 22 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       -196        7712 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -144.8571   6030.8571 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        659         100 

Degrees of freedom: 12 total; 10 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        618          16 

Degrees of freedom: 12 total; 10 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -215.3333   4353.3333 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -27.28571  3210.28571 

Degrees of freedom: 30 total; 28 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   503.6667    181.3333 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  518.14286    93.71429 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -68.42857  5579.42857 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        104        3824 

Degrees of freedom: 30 total; 28 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        695           6 

Degrees of freedom: 12 total; 10 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       -865        5800 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -539.6667   4246.6667 

Degrees of freedom: 18 total; 16 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   39.71429  7922.28571 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   73.14286  6166.85714 

Degrees of freedom: 30 total; 28 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        585         170 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   537.7143    114.2857 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   310.4286   3052.5714 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   186.4286   2732.5714 

Degrees of freedom: 24 total; 22 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        518         164 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        536          80 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -1000.667    6966.667 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       -639        5280 

Degrees of freedom: 24 total; 22 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        509         190 

Degrees of freedom: 12 total; 10 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        529          78 

Degrees of freedom: 12 total; 10 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -759.3333  13218.6667 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -737.5714  10844.5714 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        542         412 

Degrees of freedom: 18 total; 16 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   82.66667 15173.33333 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -95.33333 13029.33333 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       7181        1644 

Degrees of freedom: 18 total; 16 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   560.6667    701.3333 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        555         364 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -393.3333  10153.3333 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -58.71429  7381.71429 

Degrees of freedom: 30 total; 28 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   559.2857    325.7143 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   554.6667    149.3333 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       -518       13240 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -466.5714  10980.5714 

Degrees of freedom: 24 total; 22 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   594.6667    409.3333 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   552.3333    234.6667 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
      -1256       13060 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -522.5714   9164.5714 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   526.3333    454.6667 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   519.6667    221.3333 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
         91       14628 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       87.6     11606.4 

Degrees of freedom: 30 total; 28 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
       6783        1506 

Degrees of freedom: 12 total; 10 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   585.6667    593.3333 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   548.4286    348.5714 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -91.71429 10197.71429 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -1.857143 7846.857143 

Degrees of freedom: 30 total; 28 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   546.3333    378.6667 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   553.3333    198.6667 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -948.7143  14045.7143 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -656.4286  10851.4286 

Degrees of freedom: 30 total; 28 residual
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        580         404 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   540.6667    213.3333 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   105.3333   5397.3333 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   274.6667   3925.3333 

Degrees of freedom: 30 total; 28 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   555.3333    162.6667 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  554.33333    38.66667 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   164.1429   7006.8571 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   190.8667   5442.1333 

Degrees of freedom: 30 total; 28 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   572.3333    238.6667 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  578.33333    82.66667 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   236.1429   3933.7143 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
      210.2      3276.8 

Degrees of freedom: 30 total; 28 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        559         192 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        563          56 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   311.1429   6238.8571 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   321.8571   5121.1429 

Degrees of freedom: 30 total; 28 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        554         350 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   532.6667    177.3333 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -283.7143   5589.7143 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
  -123.8571   4102.8571 

Degrees of freedom: 24 total; 22 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        659          60 

Degrees of freedom: 12 total; 10 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        599          12 

Degrees of freedom: 12 total; 10 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   265.6667   6826.6667 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   266.2857   5493.7143 

Degrees of freedom: 30 total; 28 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   567.6667    269.3333 

Degrees of freedom: 24 total; 22 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        556         116 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        -73        3744 

Degrees of freedom: 24 total; 22 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   33.71429  3138.28571 

Degrees of freedom: 30 total; 28 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        514         252 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   513.6667    133.3333 

Degrees of freedom: 18 total; 16 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        196        5580 

Degrees of freedom: 30 total; 28 residual
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   333.5714   4131.4286 

Degrees of freedom: 30 total; 28 residual
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Warning in min(uniqueX[confLower > confUpper[1]]) :
  no non-missing arguments to min; returning Inf
Error in rq.fit.br(x, y, tau = tau, ...) : Singular design matrix
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
   601.3333    158.6667 

Degrees of freedom: 18 total; 16 residual
Warning in rq.fit.br(x, y, tau = tau, ...) : Solution may be nonunique
Call:
rq(formula = y ~ x)

Coefficients:
(Intercept)           x 
        581          42 

Degrees of freedom: 18 total; 16 residual
Error in nrow(xi[[4]]) : object 'xi' not found
Calls: calcLinear ... by.data.frame -> structure -> eval -> eval -> tapply -> nrow
Execution halted