R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> library(gstat)
Loading required package: sp
> 
> data(meuse)
> data(meuse.grid)
> 
> set.seed(13131) # reproduce results
> 
> # select 10 random rows;
> # create two missing values in the coordinates:
> m = meuse.grid[sample(nrow(meuse.grid), 10), ]
> m[c(2,8), "x"] = NA
> 
> ## this is not allowed anymore:
> try(krige(log(zinc)~1,~x+y,meuse,m, na.action = na.pass))
Error in validityMethod(object) : 
  number of rows in data.frame and SpatialPoints don't match
> try(krige(log(zinc)~1,~x+y,meuse,m, na.action = na.omit))
Error in validityMethod(object) : 
  number of rows in data.frame and SpatialPoints don't match
> try(krige(log(zinc)~1,~x+y,meuse,m, na.action = na.exclude))
Error in validityMethod(object) : 
  number of rows in data.frame and SpatialPoints don't match
> try(krige(log(zinc)~1,~x+y,meuse,m, na.action = na.fail))
Error in validityMethod(object) : 
  number of rows in data.frame and SpatialPoints don't match
> 
> # select 10 random rows;
> # create two missing values in the regressor variable:
> m = meuse.grid[sample(nrow(meuse.grid), 10), ]
> m[c(3,7), "dist"] = NA
> krige(log(zinc)~dist,~x+y,meuse,m, na.action = na.pass)
[ordinary or weighted least squares prediction]
        x      y var1.pred  var1.var
1  180260 331740  5.110655 0.2425253
2  180420 331180  4.024709 0.2580362
3  178740 330740        NA        NA
4  178780 330180  5.815051 0.2392971
5  180900 333220  6.343871 0.2404070
6  179980 331580  5.272101 0.2413105
7  180740 332300        NA        NA
8  180660 330140  6.462357 0.2410713
9  179980 331700  5.345455 0.2408518
10 179540 329900  6.314501 0.2402659
> krige(log(zinc)~dist,~x+y,meuse,m, na.action = na.omit)
[ordinary or weighted least squares prediction]
       x      y var1.pred  var1.var
1 180260 331740  5.110655 0.2425253
2 180420 331180  4.024709 0.2580362
3 178780 330180  5.815051 0.2392971
4 180900 333220  6.343871 0.2404070
5 179980 331580  5.272101 0.2413105
6 180660 330140  6.462357 0.2410713
7 179980 331700  5.345455 0.2408518
8 179540 329900  6.314501 0.2402659
> krige(log(zinc)~dist,~x+y,meuse,m, na.action = na.exclude)
[ordinary or weighted least squares prediction]
       x      y var1.pred  var1.var
1 180260 331740  5.110655 0.2425253
2 180420 331180  4.024709 0.2580362
3 178780 330180  5.815051 0.2392971
4 180900 333220  6.343871 0.2404070
5 179980 331580  5.272101 0.2413105
6 180660 330140  6.462357 0.2410713
7 179980 331700  5.345455 0.2408518
8 179540 329900  6.314501 0.2402659
> try(krige(log(zinc)~dist,~x+y,meuse,m, na.action = na.fail))
Error in na.fail.default(structure(list(dist = c(0.527108, 0.929323, NA,  : 
  missing values in object
>