TITEL              : Mackerel data
KEYWORDS (statist) : Regression, GAM, Additive Modelle
ANWENDUNGSGEBIET   : Oekologie, Umwelt
VERW.(VORL./J.-S.) : NDK 2000/2001
Ueb.aufgabe 	   : Nichtparam.Regression, Serie 3
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KURZE BESCHREIBUNG : 
			
Die Daten sind aus dem Buch   
	  Bowman & Azzalini (1997). Applied Smoothing ... [s.unten]
bzw. dem zugehörigen  "sm"  package.
Die Source der R Version ist in  /usr/local/app/R/R_local/src/sm/data/

			
 > These data record the abundance of mackerel eggs off the coast of
 > north-western Europe, from a multi-country survey in 1992.
 > 
 > The variables are:
 > 	Density:     egg density
 > 	mack.lat:    latitude of sampling position
 > 	mack.long:   longitude of sampling position
 > 	mack.depth:  bottom depth
 > 	Temperature: surface temperature
 > 	Salinity:    salinity
 > 	
	
                                          
SPEZ. EIG.         : 
                     
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DIM.(VAR./FAELLE)  : 6 / 279
Einlesen mit R: read.table("/u/sfs/ueb/datasets/mackerel.dat", header = TRUE)
	 bzw.   library(sm) ; provide.data(mackerel)
DATENFORMAT IN SAS : 
                     
                     
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* / LITERATUR      :  /
                     
 {BowAA97,
  author =	 {Adrian W. Bowman and Adelchi Azzalini},
  title = 	 {Applied Smoothing Techniques for Data Analysis. The
                  Kernel Approach with S-Plus Illustrations},
  publisher = 	 {Oxford University Press},
  year = 	 1997,
  address =	 {NY}
 }

 > Source: Background to the survey and the data are provided by
 > 	Watson et al. (1992), Priede and Watson (1993) and
 > 	Priede et al (1995).  Borchers et al (1997) describe an analysis
 > 	of the data.
                     
                   * D=Daten, vA=volle Analyse, tA=teilweise Analyse,
                     K=Kommentar

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BEMERKUNGEN        : 
                     
                     
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USERS              : Monika Ferster, Martin Maechler
DATUM/UNTERSCHRIFT : 9.1.2001/ M.Mächler