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...ny advice regarding this highly appreciated. Note: same error message gave when I was using krige function . Then I changed the code and add a loop to estimate the one by one. It worked. But this technique not work for cokiriging it gives the same error message. require(gstat) require(automap) data_c <- read.csv("cu_s_data.csv", header=T) grid<- read.csv("grid.csv", header=T) coordinates(data_c) <- ~X+Y+Z coordinates(grid) <- ~x+y+z proj4string(grid)=CRS("+init=epsg:28992") proj4string(data_c)=CRS("+init=epsg:28992") g <- gstat(id = &quot...

...te]*> [#uses=1] %ptr = weak global void ()* null ; <void ()**> [#uses=0] implementation ; Functions: declare int %printf(sbyte*, ...) void %foo1() { ret void } void %foo2() { ret void } int %main(int %argc, sbyte** %argv) { entry: %data_b = alloca int ; <int*> [#uses=2] %data_c = alloca int ; <int*> [#uses=1] %data_d = alloca int ; <int*> [#uses=3] %data_e = alloca int ; <int*> [#uses=2] %data_f = alloca int ; <int*> [#uses=2] call void %__main( ) store int 2, int* %data_b store int 3, int* %data_c store int 4, int* %data_d store int 5,...

...ons: > > declare int %printf(sbyte*, ...) > > void %foo1() { > ret void > } > > void %foo2() { > ret void > } > > int %main(int %argc, sbyte** %argv) { > entry: > %data_b = alloca int ; <int*> [#uses=2] > %data_c = alloca int ; <int*> [#uses=1] > %data_d = alloca int ; <int*> [#uses=3] > %data_e = alloca int ; <int*> [#uses=2] > %data_f = alloca int ; <int*> [#uses=2] > call void %__main( ) >...

...oo2() { > >>>> ret void > >>>> } > >>>> > >>>> int %main(int %argc, sbyte** %argv) { > >>>> entry: > >>>> %data_b = alloca int ; <int*> [#uses=2] > >>>> %data_c = alloca int ; <int*> [#uses=1] > >>>> %data_d = alloca int ; <int*> [#uses=3] > >>>> %data_e = alloca int ; <int*> [#uses=2] > >>>> %data_f = alloca int ; <int*>...

...gt; >>>>>> } > >>>>>> > >>>>>> int %main(int %argc, sbyte** %argv) { > >>>>>> entry: > >>>>>> %data_b = alloca int ; <int*> [#uses=2] > >>>>>> %data_c = alloca int ; <int*> [#uses=1] > >>>>>> %data_d = alloca int ; <int*> [#uses=3] > >>>>>> %data_e = alloca int ; <int*> [#uses=2] > >>>>>> %data_f = alloca int...

...;>>> } >>>>>>>> >>>>>>>> int %main(int %argc, sbyte** %argv) { >>>>>>>> entry: >>>>>>>> %data_b = alloca int ; <int*> [#uses=2] >>>>>>>> %data_c = alloca int ; <int*> [#uses=1] >>>>>>>> %data_d = alloca int ; <int*> [#uses=3] >>>>>>>> %data_e = alloca int ; <int*> [#uses=2] >>>>>>>> %data_f = all...

...gt;>> ret void >>>>>> } >>>>>> >>>>>> int %main(int %argc, sbyte** %argv) { >>>>>> entry: >>>>>> %data_b = alloca int ; <int*> [#uses=2] >>>>>> %data_c = alloca int ; <int*> [#uses=1] >>>>>> %data_d = alloca int ; <int*> [#uses=3] >>>>>> %data_e = alloca int ; <int*> [#uses=2] >>>>>> %data_f = alloca int ; &lt...

...I don't think I am making a mistake here. Sorry if I have. Thanks Richard > gamma1(data) #uses the glm() function $loglik [1] 875.4274 $par [1] 9.572403e-02 4.345771e+03 > gamma2(data) #"by hand" using optim() $loglik [1] 793.3913 $par [1] 0.518145 802.854297 #Data set data_c(51.47, 210.19, 49.55, 61.93, 60.61, 744.57, 338.59, 133.93, 191.57, 111.43, 432.83, 185.23, 155.61, 84.72, 120.2, 15.33, 77.05, 115.77, 25.23, 657.94, 108.39, 61.08, 142.42, 87.86, 272.87, 213.78, 65.23, 102.45, 58.16, 176.58, 76.58, 434.12, 362.35, 102.53, 103.6, 25.23, 97.19, 88.52, 118.55, 151.9...

...gis, disturbance4 wellbeing <-> wellbeing, disturbance5 wellbeing_happy <-> wellbeing_health, disturbance6 wellbeing_happy <-> wellbeing_life, disturbance7 wellbeing_health <-> wellbeing_life, disturbance8 wellbeing.analysis <- sem( wellbeing.model, gss.data.cov, nrow(gss.data_C) ) summary( wellbeing.analysis ) stdCoef( wellbeing.analysis ) effects( wellbeing.analysis ) pathDiagram( wellbeing.analysis, "WellbeingPathModel", standardize=TRUE, edge.labels="values" ) And here are my model components once specified: structure(c("belonging -> optim...