You can also embed plots, for example:

## Package 'qcc', version 2.6
## Type 'citation("qcc")' for citing this R package in publications.
## [1] "Quality Control Charts for Client"
## [1] "Control Charts for Client 1"

## [1] "process Capability Analysis for each Client"

## 
## Process Capability Analysis
## 
## Call:
## process.capability(object = obj, spec.limits = c(0.95, 0.999),     print = TRUE, digits = 3)
## 
## Number of obs = 30           Target = 0.974
##        Center = 0.985           LSL = 0.95
##        StdDev = 0.00196         USL = 0.999
## 
## Capability indices:
## 
##        Value    2.5%  97.5%
## Cp    4.1612  3.0954  5.225
## Cp_l  5.9366  4.6505  7.223
## Cp_u  2.3857  1.8608  2.911
## Cp_k  2.3857  1.7603  3.011
## Cpm   0.7678  0.4984  1.037
## 
## Exp<LSL 0%    Obs<LSL 0%
## Exp>USL 0%    Obs>USL 0%
## [1] "Control Charts for Client 2"

## [1] "process Capability Analysis for each Client"

## 
## Process Capability Analysis
## 
## Call:
## process.capability(object = obj, spec.limits = c(0.95, 0.999),     print = TRUE, digits = 3)
## 
## Number of obs = 30           Target = 0.974
##        Center = 0.991           LSL = 0.95
##        StdDev = 0.00176         USL = 0.999
## 
## Capability indices:
## 
##        Value   2.5%   97.5%
## Cp    4.6299  3.444  5.8135
## Cp_l  7.7430  6.068  9.4184
## Cp_u  1.5169  1.174  1.8594
## Cp_k  1.5169  1.109  1.9250
## Cpm   0.4929  0.319  0.6668
## 
## Exp<LSL 0%    Obs<LSL 0%
## Exp>USL 0%    Obs>USL 0%
## [1] "Control Charts for Client 3"

## [1] "process Capability Analysis for each Client"

## 
## Process Capability Analysis
## 
## Call:
## process.capability(object = obj, spec.limits = c(0.95, 0.999),     print = TRUE, digits = 3)
## 
## Number of obs = 30           Target = 0.974
##        Center = 0.954           LSL = 0.95
##        StdDev = 0.0134          USL = 0.999
## 
## Capability indices:
## 
##         Value      2.5%   97.5%
## Cp    0.60743   0.45185  0.7627
## Cp_l  0.09016  -0.01181  0.1921
## Cp_u  1.12470   0.86197  1.3874
## Cp_k  0.09016  -0.03135  0.2117
## Cpm   0.32903   0.22126  0.4367
## 
## Exp<LSL 39%   Obs<LSL 30%
## Exp>USL 0.037%    Obs>USL 0%
## [1] "Control Charts for Client 4"

## [1] "process Capability Analysis for each Client"

## 
## Process Capability Analysis
## 
## Call:
## process.capability(object = obj, spec.limits = c(0.95, 0.999),     print = TRUE, digits = 3)
## 
## Number of obs = 30           Target = 0.974
##        Center = 0.985           LSL = 0.95
##        StdDev = 0.00264         USL = 0.999
## 
## Capability indices:
## 
##        Value    2.5%  97.5%
## Cp    3.0992  2.3054  3.891
## Cp_l  4.4497  3.4835  5.416
## Cp_u  1.7486  1.3579  2.139
## Cp_k  1.7486  1.2831  2.214
## Cpm   0.7426  0.4835  1.002
## 
## Exp<LSL 0%    Obs<LSL 0%
## Exp>USL 0%    Obs>USL 0%