Dear Sir, How I can obtain the predicted values of Y variable with fitting smooth spline regressions (in GAMs) using R software? in my research, temperature (X variable) is as smoother and fish catch values (Y variable) is as response variable. I would be grateful if you could help me. Yours sincerely Parviz ________________________________ From: Douglas Bates <ba...@stat.wisc.edu> Sent: Saturday, 15 March 2014, 0:23:03 Subject: Re: smooth spline A question such as this should be sent to the R-help@R-project.org mailing list, but first I would advise you to clarify your question and, most helpfully, include information on the version of R and of any R packages you are using. This can be obtained by entering sessionInfo() after you have fit your model. You could cut-and-paste the results that are shown as the result of that statement. Dear Douglas, > >I am going to fit smooth spline regressions between an environmental variable (as a smoother) and CPUA (fish catch value) as a response variable using R software. Then, the regressions were used to calculate Suitability index (SI): > >Where, is the predicted value of CPUA; and are the minimum and maximum >values of the predicted CPUA values, respectively. >I have an R code for thin regression, but there is one problem. When I run it, there is in output only graph. But I need to the predicted value of CPUA () to to calculate Suitability index (SI). > Please look at the attached file. > >I would be grateful if you could help me. > >Yours sincerely >Parviz [[alternative HTML version deleted]]
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