Linear Regression With Nested Explanation Variable

We are trying to create a model of linear regression with nested table. We used the create mining model sintax as follow :

create mining model rate_plan3002_nested2

( CUST_cycle LONG KEY,

VOICE_CHARGES double CONTINUOUS predict,

DUR_PARTNER_GRP_1 double regressor CONTINUOUS ,

nested_taarif_time_3002 table

( CUST_cycle long CONTINUOUS,

TARIFF_TIME text key,

TARIFF_VOICE_DUR_ALL double regressor CONTINUOUS

)

) using microsoft_linear_regression

INSERT INTO MINING STRUCTURE [rate_plan3002_nested2_Structure]

(CUST_cycle ,

VOICE_CHARGES ,

DUR_PARTNER_GRP_1 ,

[nested_taarif_time_3002](SKIP,TARIFF_TIME ,TARIFF_VOICE_DUR_ALL)

)

SHAPE {

OPENQUERY([Cell],

'SELECT CUST_cycle ,

VOICE_CHARGES ,

DUR_PARTNER_GRP_1

FROM dbo.panel_anality_3002

order by CUST_cycle ')}

APPEND

({OPENQUERY([Cell],

'select CUST_cycle,

TARIFF_TIME,

CYCLE_DATE

from dbo.nested_taarif_time_3002

order by CUST_cycle,TARIFF_TIME')

}

relate CUST_cycle to CUST_cycle

) as nested_taarif_time_3002



The results we got are a model with intercept only. if we don't use the nested variable (the red line) we get a rigth model . (we had more variable ....)

Is there a way to do this regression correctly?

Thanks,

Dror