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structure(list(ALP = structure(c(1.45023761739741, 0.149191606417818,
0.289045986685713, 0.511807817105695, 0.214014009796852, 0.564809253075286,
0.341612024869072, 0.181586664285256, 0.196534948112068), .Names = c("AUS",
"NSW", "VIC", "QLD", "SA", "WA", "TAS", "NT", "ACT")), LNP = structure(c(0.646757804562477,
0.165157866203019, 0.165150794946402, 0.214734196888681, 0.242348526769961,
0.37298450058028, 0.312969526175504, 0.0720629718839292, 0.0492566343309095
), .Names = c("AUS", "NSW", "VIC", "QLD", "SA", "WA", "TAS",
"NT", "ACT")), GRN = structure(c(0.173671256383268, 0.153475180995859,
0.128721013008113, 0.0672129071939128, 0.0402606782101195, 0.119282444893941,
0.209317722855569, 0.0563318007165406, 0.102852800269988), .Names = c("AUS",
"NSW", "VIC", "QLD", "SA", "WA", "TAS", "NT", "ACT")), PUP = structure(c(0.306800730919697,
2.2258439372976e-09, 0.00843339235684787, 0.817590786644356,
1.73374165463247e-08, 0.0505680157487178, 0.0552707687450421,
0.00786420179951695, 0.055060118976244), .Names = c("AUS", "NSW",
"VIC", "QLD", "SA", "WA", "TAS", "NT", "ACT")), OTH = structure(c(0.158470907137808,
0.0578189288217145, 0.233754910323928, 0.0990628546470603, 0.299406690421683,
0.11105236108013, 0.262687817511224, 0.196055694844992, 0.258807023144621
), .Names = c("AUS", "NSW", "VIC", "QLD", "SA", "WA", "TAS",
"NT", "ACT")), Covariance = structure(list(LNP = structure(list(
ALP = -1.0619731961419), .Names = "ALP"), GRN = structure(list(
ALP = -0.184804449715333, LNP = -0.151565330518861), .Names = c("ALP",
"LNP")), PUP = structure(list(ALP = -0.0491543879068153, LNP = -0.204944129637952), .Names = c("ALP",
"LNP")), OTH = structure(list(ALP = -0.157252114748584, LNP = -0.446809469102786), .Names = c("ALP",
"LNP"))), .Names = c("LNP", "GRN", "PUP", "OTH")), `Newspoll Quarterly` = structure(c(0.398346692011945,
-0.777972062489334, -0.826120443676923, 0.600630661079457, -0.113503018143038,
0.765745444290138, 0.672344680278493, 0.975344224718248), .Names = c("NoiseVariance",
"ALP", "LNP", "GRN", "PUP", "OTH", "PUPOTH", "GRNOTH")), Newspoll = structure(c(1.05174719240152,
-1.01743609418713, -0.332566422232147, 0.506375073561037, 0.0371620522004223,
0.804164403812112, 0.389652042829314, 0.224967245686623), .Names = c("NoiseVariance",
"ALP", "LNP", "GRN", "PUP", "OTH", "PUPOTH", "GRNOTH")), Nielsen = structure(c(1.71185379364932,
-1.07938226312045, -0.149775862681399, 1.40196155516344, -0.878080953801686,
-0.150040087692433, -0.423305721052787, 0.0902711020895195), .Names = c("NoiseVariance",
"ALP", "LNP", "GRN", "PUP", "OTH", "PUPOTH", "GRNOTH")), Morgan = structure(c(1.79567899259451,
1.86935000189467, -1.25546096121071, 0.270495371673209, 0.162751056863835,
-1.10591525936449, 1.02075227542577, 0.259489177360111), .Names = c("NoiseVariance",
"ALP", "LNP", "GRN", "PUP", "OTH", "PUPOTH", "GRNOTH")), Galaxy = structure(c(1.85442041759524,
-0.814504952904478, 1.17857596313462, 1.55193099288703, -0.0931361222788955,
-2.05888972446643, 0.323246946388606, -0.218444467118525), .Names = c("NoiseVariance",
"ALP", "LNP", "GRN", "PUP", "OTH", "PUPOTH", "GRNOTH")), Essential = structure(c(1.52182243124583,
1.67704550101384, 0.195459881306082, -1.04955486900394, -0.894333705688138,
-0.669930431114436, -1.47820122856745, 1.11973654735123), .Names = c("NoiseVariance",
"ALP", "LNP", "GRN", "PUP", "OTH", "PUPOTH", "GRNOTH")), ReachTEL = structure(c(0.839284473201402,
1.66082698960935, -0.017572801332278, -0.11436383998574, -0.0425745045097318,
-1.67019853639291, -0.338504287794152, -0.115514403610187), .Names = c("NoiseVariance",
"ALP", "LNP", "GRN", "PUP", "OTH", "PUPOTH", "GRNOTH")), `Morgan SMS` = structure(c(1.91489790939563,
0.325424311255143, -0.55397486506223, -0.0851295497834921, -0.47705383438929,
1.05746787667976, 0.567360065009567, 0.331200270880814), .Names = c("NoiseVariance",
"ALP", "LNP", "GRN", "PUP", "OTH", "PUPOTH", "GRNOTH")), `Morgan Multi` = structure(c(1.26525731096151,
0.108625114253469, -1.40652577151328, 0.800478084218578, -0.773110747774597,
0.723181854034698, 0.735247571328074, 0.453388683568196), .Names = c("NoiseVariance",
"ALP", "LNP", "GRN", "PUP", "OTH", "PUPOTH", "GRNOTH")), `Essential Online` = structure(c(2.09163675354606,
0.087117375849346, -0.158765511009168, -0.0792254804831857, 0.411887581553939,
0.21279522506121, 0.621586041439493, -0.181789209942244), .Names = c("NoiseVariance",
"ALP", "LNP", "GRN", "PUP", "OTH", "PUPOTH", "GRNOTH")), Ipsos = structure(c(0.898745609671025,
-0.670668593294137, 0.325617670433222, 0.64397592106118, -0.333571561617717,
-0.754702635599567, -0.130557320392153, -0.17955139048558), .Names = c("NoiseVariance",
"ALP", "LNP", "GRN", "PUP", "OTH", "PUPOTH", "GRNOTH")), GalaxyNewspoll = structure(c(1.62686885724041,
1.12491026641621, -0.00836151937222588, -0.317349280666379, 0,
0, -0.218627353397473, 0), .Names = c("NoiseVariance", "ALP",
"LNP", "GRN", "PUP", "OTH", "PUPOTH", "GRNOTH"))), .Names = c("ALP",
"LNP", "GRN", "PUP", "OTH", "Covariance", "Newspoll Quarterly",
"Newspoll", "Nielsen", "Morgan", "Galaxy", "Essential", "ReachTEL",
"Morgan SMS", "Morgan Multi", "Essential Online", "Ipsos", "GalaxyNewspoll"
))