Hi R User, 
I was trying to find a final model in the following example by using the Boosted regression trees (GBM). The program gives the fitted values but I wanted to calculate the fitted value by hand to understand in depth. Would you give moe some hints on what is the final model for this example?   
Thanks 

KG
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The following script I used 
#-----------------------
library(dismo)
data(Anguilla_train)
head(Anguilla_train)
angaus.tc5.lr01 <- gbm.step(data=Anguilla_train, gbm.x = 3:13, gbm.y = 2,
+                         family = "bernoulli", tree.complexity = 5,
+                         learning.rate = 0.01, bag.fraction = 0.5)

names(angaus.tc5.lr01)
 [1] "initF"                "fit"                 
 [3] "train.error"          "valid.error"         
 [5] "oobag.improve"        "trees"               
 [7] "c.splits"             "bag.fraction"        
 [9] "distribution"         "interaction.depth"   
[11] "n.minobsinnode"       "n.trees"             
[13] "nTrain"               "response.name"       
[15] "shrinkage"            "train.fraction"      
[17] "var.levels"           "var.monotone"        
[19] "var.names"            "var.type"            
[21] "verbose"              "data"                
[23] "Terms"                "cv.folds"            
[25] "gbm.call"             "fitted"              
[27] "fitted.vars"          "residuals"           
[29] "contributions"        "self.statistics"     
[31] "cv.statistics"        "weights"             
[33] "trees.fitted"         "training.loss.values"
[35] "cv.values"            "cv.loss.ses"         
[37] "cv.loss.matrix"       "cv.roc.matrix" 
 		 	   		  
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