store   prog    week    sales
a       A       1       94
a       A       2       124
a       A       3       297
a       A       4       400
a       A       5       395
a       B       6       528
a       B       7       35
a       N       8       80
a       N       9       90
a       N       10      100
b       B       1       2
b       B       2       112
b       A       3       207
....
o       N       7       71
o       N       8       94
o       N       9       106
o       N       10      107
p       N       1       29
p       N       2       34
p       N       3       49
p       N       4       47
p       N       5       63
p       N       6       69
p       N       7       72
p       N       8       83
p       N       9       95
p       N       10      117

mod = lmer(sales ~ prog + (1|store),data=a)

mod = lmer(sales ~ prog + week + (1|store),data=a)
summary(mod)

Fixed effects:
            Estimate    Std. Error     df t value
(Intercept)   142.83      25.44  156.00   5.615
progB         -11.59      32.49  156.00  -0.357
progN        -189.53      21.66  156.00  -8.750
week           20.40       3.38  156.00   6.036

Fixed effects:
            Estimate Std. Error      df t value Pr(>|t|)
(Intercept)   142.83      25.44  156.00   5.615 8.80e-08 ***
progB         -11.59      32.49  156.00  -0.357    0.722
progN        -189.53      21.66  156.00  -8.750 3.11e-15 ***
week           20.40       3.38  156.00   6.036 1.11e-08 ***

mod = lm(onlineSales ~ prog + week)