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

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: fwdglm
> ### Title: Forward Search in Generalized Linear Models
> ### Aliases: fwdglm print.fwdglm
> ### Keywords: robust regression models
> 
> ### ** Examples
>  
> data(cellular)
> cellular$TNF <- as.factor(cellular$TNF)
> cellular$IFN <- as.factor(cellular$IFN)
> mod <- fwdglm(y ~ TNF + IFN, data=cellular, family=poisson(log), nsamp=200)
lmsglm: found 6 good subsets after trying 10.
lmsglm: found 7 good subsets after trying 20.
lmsglm: found 13 good subsets after trying 30.
lmsglm: found 18 good subsets after trying 40.
lmsglm: found 22 good subsets after trying 50.
lmsglm: found 25 good subsets after trying 60.
lmsglm: found 28 good subsets after trying 70.
lmsglm: found 30 good subsets after trying 80.
lmsglm: found 33 good subsets after trying 90.
lmsglm: found 38 good subsets after trying 100.
lmsglm: found 46 good subsets after trying 110.
lmsglm: found 48 good subsets after trying 120.
lmsglm: found 52 good subsets after trying 130.
lmsglm: found 56 good subsets after trying 140.
lmsglm: found 62 good subsets after trying 150.
lmsglm: found 64 good subsets after trying 160.
lmsglm: found 69 good subsets after trying 170.
lmsglm: found 71 good subsets after trying 180.
lmsglm: found 76 good subsets after trying 190.
lmsglm: found 82 good subsets after trying 200.
lmsglm: found 84 good subsets after trying 210.
lmsglm: found 87 good subsets after trying 220.
lmsglm: found 90 good subsets after trying 230.
lmsglm: found 94 good subsets after trying 240.
lmsglm: found 99 good subsets after trying 250.
lmsglm: found 104 good subsets after trying 260.
lmsglm: found 109 good subsets after trying 270.
lmsglm: found 112 good subsets after trying 280.
lmsglm: found 116 good subsets after trying 290.
lmsglm: found 120 good subsets after trying 300.
lmsglm: found 124 good subsets after trying 310.
lmsglm: found 126 good subsets after trying 320.
lmsglm: found 128 good subsets after trying 330.
lmsglm: found 132 good subsets after trying 340.
lmsglm: found 132 good subsets after trying 350.
lmsglm: found 137 good subsets after trying 360.
lmsglm: found 140 good subsets after trying 370.
lmsglm: found 142 good subsets after trying 380.
lmsglm: found 144 good subsets after trying 390.
lmsglm: found 149 good subsets after trying 400.

	*** Starting Forward Search ***

fwdglm: finished 10 steps out of 16.
> summary(mod)
                Length Class  Mode   
call              5    -none- call   
Residuals       160    -none- numeric
Unit             50    -none- numeric
included         10    -none- list   
Coefficients     70    -none- numeric
tStatistics      70    -none- numeric
Leverage        160    -none- numeric
MaxRes           20    -none- numeric
MinDelRes        18    -none- numeric
ScoreTest         9    -none- numeric
Likelihood       40    -none- numeric
CookDist          9    -none- numeric
ModCookDist      45    -none- numeric
Weights         160    -none- numeric
inibsb            7    -none- numeric
binary.response   1    -none- logical
> ## Not run: plot(mod)
> plot(mod, 1)
Error in xy.coords(x, y, xlabel, ylabel, log) : 
  'x' and 'y' lengths differ
Calls: plot -> plot.default -> xy.coords
Execution halted