[R] I'm missing observations in plm()

[Daniel Bab.]

Hello,

I'm writing my Bachelor Thesis and I'm using the package plm for a
panelregression with fixed effects (individual and time).
My Dataset contains 11 variables (including the response) and has 486
observations of these.
In the observation I have missing values, which don't make a problem. If I
reduce my dataset from observations with missing values, it still contains
309 observations.
My Problem is, that my model by using plm only uses 286 of my observations.
23 observations are missing, which are distributed over 6 of my individuals
and don't contain missing values.
None of these observations should be identical to another in the dataset (I
only checked for one), so I can't figure out why I'm missing these
observations.



Example from my Dataset:
   TIME     GEO Verkehrstote_Quote Autobahnlaenge_Quote PKW_Quote$Value
20 1991 Belgien                188           0.05069903             398
21 1992 Belgien                167           0.05094485             401
22 1993 Belgien                165           0.05115993             408
23 1994 Belgien                168           0.05119066             417
24 1995 Belgien                143           0.05119066             422
25 1996 Belgien                134           0.05143647             428
   LKW$Value Motorraeder$Value Bevoelkerungsquote Quote_Jung Quote_Alt
20  36.04695          14.91943           306.8666   13.79864  3.537448
21  36.61945          16.16444           307.9428   13.47332  3.595531
22  37.24554          17.38125           309.3661   13.21728  3.680058
23  38.71045          18.61270           310.3589   13.01022  3.738638
24  39.68186          19.74222           311.2790   12.82610  3.812795
25  41.11191          20.90102           311.6622   12.65081  3.808343
   Quote_Erstzulassungen BIP$Value Alkohol.Wert
20            0.01177985     16300        11.49
21            0.12079010     17300        11.74
22            0.09550608     18300        11.72
23            0.09595748     19600        11.23
24            0.08662883     21500        11.10
25            0.09409657     21400        11.07



Has anyone seen this problem before?
Thank you for dealing with my problem.

Regards,
Daniel



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