Caros,
estou tentando ajustar um modelo gaussiano aos de biomassa de peixe
(kg), e estou caindo em um problema que não consigo identificar o
motivo!
Abaixo segue o CMR, bem como o Erro resultante do procedimento.
Obrigado.
dados <- structure(list(coords = structure(c(-42.2064355778, -42.3032008959,
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-27.182464673913, -27.2461929347825, -27.3417853260869,
-27.4214456521739, -27.4851739130435, -27.5807663043478,
-27.7560190217391, -27.915339673913, -28.0905923913044,
-28.2499130434783, -28.3933016304348, -28.5844864130434,
-28.7119429347826, -28.7119429347826, -28.807535326087,
-28.9031277173913, -29.0943124999999, -29.3014293478261,
-29.4766820652174, -29.7475271739131, -29.9865081521739,
-30.2254891304348, -30.3688777173912, -30.5122663043478,
-30.5122663043478, -30.6078586956521, -30.6875190217391,
-30.7353152173913, -30.7353152173913, -30.7831114130435,
-30.9105679347826, -31.0380244565217, -31.2292092391304,
-31.4044619565217, -31.6115788043478, -31.8346277173912,
-32.1054728260869, -32.3125896739131, -32.4878423913044,
-32.6949592391304, -32.8861440217391, -33.125125, -33.3003777173913,
-33.4915624999999, -33.6030869565217, -33.6827472826087,
-33.6986793478261, -33.7942717391304, -33.7942717391304,
-33.9057961956522, -33.9057961956522, -34.0173206521739,
-34.0969809782609, -34.1607092391304, -34.2881657608695,
-34.4474864130434, -34.4793505434782, -34.511214673913
)), .Names = c("coords.x1", "coords.x2"), class =
"data.frame", row.names = c(NA,
-181L))), .Names = c("coords", "data", "borders"), class = "geodata")
ini.fit <- ini.fit <- expand.grid((2000:5000), (0:12)/12)
mod.gau <- likfit(dados.geo, ini.cov.pars = ini.fit, cov.model =
"gau", trend = "cte", fix.nugget = FALSE,
fix.lambda = FALSE, lik.method = "ML")
kappa not used for the gaussian correlation function
likfit: searching for best initial value ... selected values:
sigmasq phi tausq kappa lambda psiR
initial.value "2952.00" " 0.83" " 0.00" " 0.50" " 1.00" " 1.00"
status "est" "est" "est" "fix" "est" "fix"
psiA
initial.value " 0.00"
status "fix"
likelihood value: -319.704123974414
---------------------------------------------------------------
likfit: likelihood maximisation using the function optim.
likfit: Use control() to pass additional
arguments for the maximisation function.
For further details see documentation for optim.
likfit: It is highly advisable to run this function several
times with different initial values for the parameters.
likfit: WARNING: This step can be time demanding!
---------------------------------------------------------------
trying another decomposition (svd)
Erro em solve.default(v$varcov, xmat) :
sistema é computacionalmente singular: condição recíproca número = 6.36899e-20
_______________
Rodrigo Sant'Ana
Oceanógrafo
