* using log directory 'd:/Rcompile/CRANpkg/fields.Rcheck'
* checking for file 'fields/DESCRIPTION' ... OK
* checking if this is a source package ... OK
* checking whether package 'fields' can be installed ... OK
* checking package directory ... OK
* checking for portable file names ... OK
* checking package dependencies ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for syntax errors ... OK
* checking R files for library.dynam ... OK
* checking S3 generic/method consistency ... WARNING
make.Amatrix:
  function(object, ...)
make.Amatrix.Krig:
  function(out, x0, lambda)

predict.se:
  function(object, ...)
predict.se.Krig:
  function(out, x, cov.function, rho, sigma2, weights, cov,
           stationary, fixed.mean, ...)

sim.rf:
  function(obj, ...)
sim.rf.default:
  function(obj)

surface:
  function(x, grid.list, extrap, xlab, ylab, zlab, main, levels, zlim,
           ...)
surface.Krig:
  function(obj, grid.list, extrap, graphics.reset, xlab, ylab, main,
           zlab, zlim, levels, type, nx, ny, ...)

surface:
  function(x, grid.list, extrap, xlab, ylab, zlab, main, levels, zlim,
           ...)
surface.krig.image:
  function(obj, grid.list, extrap, graphics.reset, xlab, ylab, main,
           zlab, zlim, levels, ptype, ...)

print:
  function(x, ...)
print.Krig:
  function(x, digits)

print:
  function(x, ...)
print.krig.image:
  function(obj)

print:
  function(x, ...)
print.spatial.design:
  function(x)

print:
  function(x, ...)
print.summary.spatial.design:
  function(x, digits)

summary:
  function(object, ...)
summary.gcv.Krig:
  function(out, lambda, cost, verbose, offset, y)

summary:
  function(object, ...)
summary.gcv.sreg:
  function(out, lambda, cost, nstep.cv, offset, verbose)

summary:
  function(object, ...)
summary.Krig:
  function(x, digits)

summary:
  function(object, ...)
summary.krig.image:
  function(x, digits, ...)

summary:
  function(object, ...)
summary.qsreg:
  function(x, ...)

summary:
  function(object, ...)
summary.spatial.design:
  function(x, digits, ...)

summary:
  function(object, ...)
summary.sreg:
  function(x, digits, ...)

image:
  function(x, ...)
image.count:
  function(x, grid, nrow, ncol)

image:
  function(x, ...)
image.plot.plt:
  function(add, legend.shrink, legend.width, horizontal, offset,
           bigplot, smallplot)

image:
  function(x, ...)
image.smooth:
  function(Y, wght, dx, dy, Nwidth, Mwidth, kernel.function, theta,
           grid, tol, xwidth, ywidth, weights)

image:
  function(x, ...)
image.smooth.setup:
  function(nrow, ncol, dx, dy, kernel.function, theta, Mwidth, Nwidth,
           ...)

plot:
  function(x, ...)
plot.coef:
  function(x, cut.min, graphics.reset, common.range)

plot:
  function(x, ...)
plot.Krig:
  function(out, main, digits, which, graphics.reset, ...)

plot:
  function(x, ...)
plot.krig.image:
  function(out, main, digits, which, graphics.reset, ...)

plot:
  function(x, ...)
plot.qsreg:
  function(out, pch, main)

plot:
  function(x, ...)
plot.sim.krig.image:
  function(obj)

plot:
  function(x, ...)
plot.spatial.design:
  function(out)

plot:
  function(x, ...)
plot.sreg:
  function(out, main, digits, which, graphics.reset, ...)

plot:
  function(x, ...)
plot.surface:
  function(obj, main, type, zlab, xlab, ylab, levels, zlim,
           graphics.reset, labcex, ...)

plot:
  function(x, ...)
plot.vgram.matrix:
  function(obj, ...)

plot:
  function(x, ...)
plot.Wimage.info:
  function(m, n, cut.min)

predict:
  function(object, ...)
predict.interp.surface:
  function(obj, loc)

predict:
  function(object, ...)
predict.Krig:
  function(out, x, lambda, df, model, eval.correlation.model, y,
           verbose, gcv)

predict:
  function(object, ...)
predict.krig.image:
  function(obj, x, ...)

predict:
  function(object, ...)
predict.qsreg:
  function(out, x, derivative, model)

predict:
  function(object, ...)
predict.se.Krig:
  function(out, x, cov.function, rho, sigma2, weights, cov,
           stationary, fixed.mean, ...)

predict:
  function(object, ...)
predict.sreg:
  function(out, x, derivative, model)

predict:
  function(object, ...)
predict.surface:
  function(out, grid.list, extrap, chull.mask, model, nx, ny, ...)

predict:
  function(object, ...)
predict.surface.se:
  function(out, grid.list, extrap, chull.mask, ...)

See section 'Generic functions and methods' of the 'Writing R Extensions'
manual.
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking Rd files ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking for CRLF line endings in C sources/headers ... OK
* creating fields-Ex.R ... OK
* checking examples ... OK
* creating fields-manual.tex ... OK
* checking fields-manual.tex ... OK