Dear list members, I am using the predict function of the GSIF package but after running for a while I do not get an output and when I stop the process I got the following message (see below).
I fit the fit.gstatModel co_rk_rf <- fit.gstatModel(datos_co_sp["co"], co_formulaString_correlacion, covar_finales_sp, method = "quantregForest") Fitting a Quantile Regression Forest model... Shapiro-Wilk normality test and Anderson-Darling normality test report probability of < .05 indicating lack of normal distribution for residualsFitting a 2D variogram... No convergence after 200 iterations: try different initial values?singular model in variogram fitSaving an object of class 'gstatModel'... but when I try the prediction it gave me an error message co_rk_rf_pred <- predict(co_rk_rf, covar_finales_sp) no loop for break/next, jumping to top level I tried with same data set before and it works, but not now. I also tried with similar data sets and it works. Any idea what could be causing the problem? Manuel -- *Manuel Spínola, Ph.D.* Instituto Internacional en Conservación y Manejo de Vida Silvestre Universidad Nacional Apartado 1350-3000 Heredia COSTA RICA mspin...@una.cr <mspin...@una.ac.cr> mspinol...@gmail.com Teléfono: (506) 8706 - 4662 Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/> [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
