Hi everone and thanks for this service,

I have a dataset which look like:


 X. IE.2003 IE.2004 IE.2005 IE.2006 IE.2007 IE.2008 IE.2009 IE.2010

14560 118958     187     475     571     764    1047    1203     715     807
12737 105571     935     942     917     948     991     861      NA     541
15463 126514      NA     296     495     598      NA    1192    1174     800
4402   34370      NA      82     395     679    1654    1445      88      NA
6924   56280     668     863     851     812    1211     799      NA     588
17910 146534     887     971    1026     966    1037     855     562     675
18428 151088      99     263     584     832    1148      NA      NA      NA
17990 147181      93     169     670     565    1491     671    1219     518
15156 124148      NA     680    1991     426     282     784     921     733
8906   71851      49    1294    1377    1735     723     310     139      NA

My deal is to do imputation, I was trying with library mice, method="pmm", but I get an error: too high correlation

Which imputation can I use? I have tried with other methods in mice but the same error appears

Thanks in advance, Teresa 		 	   		  
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