Program CANOCO Version 4.0 September 1997 - written by Cajo J.F. ter Braak
 Copyright (c) 1988-1997 Centre for Biometry Wageningen, CPRO-DLO
 Box 100, 6700 AC Wageningen, the Netherlands.
 CANOCO performs (partial) (detrended) (canonical) correspondence analysis,
 principal components analysis and redundancy analysis.
 CANOCO is an extension of Cornell Ecology program DECORANA (Hill,1979)

 For explanation of the input/output see the manual or
 Ter Braak, C.J.F. (1995) Ordination. Chapter 5 in:
 Data Analysis in Community and Landscape Ecology
 (Jongman, R.H.G., Ter Braak, C.J.F. and Van Tongeren, O.F.R., Eds)
 Cambridge University Press, Cambridge, UK, 91-173 pp.

 *** Type of analysis ***
  Model             Gradient analysis
               indirect     direct     hybrid
 linear         1=PCA       2= RDA       3
 unimodal       4= CA       5= CCA       6
    ,,          7=DCA       8=DCCA       9
               10=non-standard analysis
 Type analysis number
 Answer =  1


 *** Data files ***
 Species data       :     iris_fl2.dta                        
 Covariable data    :     iris_spe.dta                        
 Environmental data :     iris_flw.dta                        
 Initialization file:                                         

 Forward selection of envi. variables =    0
 Scaling of ordination scores         =    2
 Diagnostics                          =    1

 File   :     iris_fl2.dta                        
 Title  : Fisher's Iris data: setosa(1), versicolor(2) and virginia (3)                   
 Format :  (1X,I5,(T10,14F5.1))                                                
 No. of couplets of species number and abundance per line :    0


 No samples omitted
 Number of samples           150
 Number of species             4
 Number of occurrences       600


 File  :     iris_spe.dta                        
 Title : Fisher's Iris data: setosa(1), versicolor(2) and virginia (3)                  
 Format :  (I5,8(I5,F4.0))                                                     
 No. of             covariables :     3


 No interaction terms defined


 ******************************************************************************
                     Names of covariables
 ******************************************************************************
 setosa   versicol virginic
 ******************************************************************************

 File  :     iris_flw.dta                        
 Title : Fisher's Iris data: setosa(1), versicolor(2) and virginia (3)                  
 Format :  (1X,I5,(T10,14F5.1))                                                
 No. of environmental variables :     4


 No interaction terms defined


 No transformation of species data
 No species-weights specified
 No  sample-weights specified
 Centring/standardization by species  =    1
 Centring/standardization by samples  =    0

 No. of active  samples:    150
 No. of passive samples:      0
 No. of active  species:      4

 Total sum of squares in species data =     681.371    
 Total standard deviation in species data TAU =     1.06565    
 Covariable virginic is linearly dependent, hence ignored
 
 ****** Check on influence in covariable/environment data ******
 The following sample(s) have extreme values
 Sample Environmental        Covariable  + Environment space
        variable Influence   influence     influence     

     42     2      6.5x
     99     3      5.1x
    107     1      6.4x
    119     3      5.8x
    135     4      5.6x
 ****** End of check ******

1
 **** Correlation matrix ****
 
 SPEC AX1	  1.0000
 SPEC AX2	   .0000	  1.0000
 SPEC AX3	   .0000	   .0000	  1.0000
 SPEC AX4	   .0000	   .0000	   .0000	  1.0000
 ENVI AX1	  1.0000	   .0000	   .0000	   .0000	  1.0000
 ENVI AX2	   .0000	  1.0000	   .0000	   .0000	   .0000	  1.0000
 ENVI AX3	   .0000	   .0000	  1.0000	   .0000	   .0000	   .0000	  1.0000
 ENVI AX4	   .0000	   .0000	   .0000	  1.0000	   .0000	   .0000	   .0000	  1.0000
 Seplengt	  -.9545	   .0320	  -.2890	  -.0667	  -.9545	   .0320	  -.2890	  -.0667
 Sepwidth	  -.6285	  -.7547	   .1250	   .1407	  -.6285	  -.7547	   .1250	   .1407
 Petlengt	  -.8866	   .3130	   .3181	   .1218	  -.8866	   .3130	   .3181	   .1218
 Petwidth	  -.5125	  -.2213	   .5501	  -.6211	  -.5125	  -.2213	   .5501	  -.6211

         	SPEC AX1	SPEC AX2	SPEC AX3	SPEC AX4	ENVI AX1	ENVI AX2	ENVI AX3	ENVI AX4

 Seplengt	  1.0000
 Sepwidth	   .5302	  1.0000
 Petlengt	   .7562	   .3779	  1.0000
 Petwidth	   .3645	   .4705	   .4845	  1.0000

         	Seplengt	Sepwidth	Petlengt	Petwidth

    N	name	   (weighted) mean	   stand. dev.	inflation factor

    1	SPEC AX1	         .0000	        1.0000
    2	SPEC AX2	         .0000	        1.0000
    3	SPEC AX3	         .0000	        1.0000
    4	SPEC AX4	         .0000	        1.0000
    5	ENVI AX1	         .0000	        1.0000
    6	ENVI AX2	         .0000	        1.0000
    7	ENVI AX3	         .0000	        1.0000
    8	ENVI AX4	         .0000	        1.0000
    1	Seplengt	        5.8433	         .8253	        7.5365
    2	Sepwidth	        3.0573	         .4344	        2.7409
    3	Petlengt	        3.7580	        1.7594	       46.7143
    4	Petwidth	        1.1993	         .7597	       21.6557


 **** Summary ****

 Axes                               	     1	     2	     3	     4	Total variance

 Eigenvalues                       :	  .096	  .019	  .012	  .005	        1.000
 Species-environment correlations  :	 1.000	 1.000	 1.000	 1.000
 Cumulative percentage variance
    of species data                :	  73.0	  87.2	  96.3	 100.0
    of species-environment relation:	  73.0	  87.2	  96.3	 100.0

 Sum of all unconstrained eigenvalues      	     	      	      	      	   .131
 Sum of all canonical     eigenvalues      	     	      	      	      	   .131


 The sum of all unconstrained eigenvalues is after fitting covariables
 Percentages are taken with respect to residual variances
                 i.e. variances after fitting covariables

 *** MESSAGE ***
 The fit for species is additional to the fit due to covariables.
 With covariables, CANOCO cannot calculate residuals for samples.