all:
lm(formula = log(regular.volume.2) ~ ., data = dt.regular.2)

Residuals:
     Min       1Q   Median       3Q      Max
-0.64384 -0.10257 -0.00436  0.11570  0.52346

Coefficients:
                                Estimate Std. Error t value Pr(>|t|)
(Intercept)                    1.365e+01  1.676e+00   8.150 4.17e-13 ***
regular.campaign.b.spend      -4.516e-07  3.515e-07  -1.285   0.2013
regular.campaign.e.spend       4.904e-07  3.165e-07   1.550   0.1239
regular.campaign.d.spend       2.568e-07  1.345e-07   1.908   0.0587 .
regular.campaign.c.spend      -7.104e-08  3.584e-07  -0.198   0.8432
regular.campaign.a.spend       3.853e-07  3.672e-07   1.049   0.2961
regular.campaign.f.spend       6.002e-07  4.789e-07   1.253   0.2125
regular.distribution.2        -2.349e-03  1.650e-02  -0.142   0.8870
regular.display.2              3.250e-02  2.226e-01   0.146   0.8841
regular.feature.and.display.2  1.439e-02  1.705e-03   8.437 9.04e-14 ***
regular.feature.2              2.869e-03  1.387e-03   2.069   0.0407 *
regular.multibuy.2            -3.908e-04  1.308e-03  -0.299   0.7657
regular.price.2               -1.055e+00  4.944e-02 -21.348  < 2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.1978 on 119 degrees of freedom
Multiple R-squared:  0.9642,    Adjusted R-squared:  0.9606
F-statistic: 266.8 on 12 and 119 DF,  p-value: < 2.2e-16